30 Orchestration Framework Jobs

Ready to shape the future of healthcare AI? Apply now and be a part of building the clinical agentic infrastructure for tomorrow. The OHAI Agent Engineering Team is pioneering the next generation of intelligent agent frameworks, delivering transformative solutions to elevate healthcare services and drive exceptional customer experiences. Our cutting-edge platform seamlessly integrates advanced automation, clinical intelligence, and user-centric designempowering healthcare providers to deliver proactive, personalized care and setting a new standard for operational excellence and patient delight. Join us as we shape the future of healthcare with innovation, passion, and impact. We are seeking a Senior Software Principal Engineer with deep expertise in healthcare technologies, Agentic AI frameworks, and modern data/AI infrastructure to join our Clinical AI team. This role is pivotal in shaping our next-generation Clinical Agentic AI Platform, enabling dynamic, context-aware care pathways for healthcare providers and patients. The ideal candidate will be an accomplished hands-on architect with a strong background in Python, exposure to Java, and demonstrated experience with Agentic AI, LangGraph, Vector DBs, OpenSearch, and LLM-based systems. In addition to strong system design skills, you must be capable of mentoring senior engineers, driving technical strategy, and ensuring delivery of scalable, secure, and high-performing AI services. Key Responsibilities: Architect and lead the development of clinical agent-based AI systems using LangGraph or similar frameworks. Collaborate with product and clinical informatics teams to design AI-driven care pathways and decision support systems. Define and evolve the technical roadmap , aligning with compliance, performance, and integration standards. Lead the implementation of LangGraph-based agents, integrating them with Vector Databases, OpenSearch, and other retrieval-augmented generation (RAG) pipelines. Design and guide data pipelines for LLM-based applications, ensuring real-time contextual understanding. Mentor and coach senior and mid-level engineers; foster a culture of technical excellence and innovation. Conduct design reviews, enforce code quality standards, and ensure scalable, maintainable solutions. Collaborate with platform teams on observability, deployment automation, and runtime performance optimization. Stay current with evolving AI trends, particularly in the LLMOps / Agentic AI space, and evaluate emerging tools and frameworks. Required Qualifications: 10+ years of hands-on software development experience; at least 3 years in an architect-level role. Proven experience building and scaling agent-based AI applications, ideally in clinical or healthcare contexts. Strong proficiency in Python (primary language); working knowledge of Java is a plus. Solid experience with LangGraph or similar agentic orchestration frameworks. Deep understanding of LLMs, prompt engineering, retrieval-augmented generation (RAG), and semantic search. Hands-on with Vector Databases (e.g., FAISS, Weaviate, Pinecone) and OpenSearch/ElasticSearch. Knowledge of healthcare standards (e.g., FHIR, HL7) and regulatory considerations (HIPAA, HITRUST) is highly desirable. Track record of designing large-scale, distributed systems with high availability and performance. Experience guiding cross-functional engineering teams through architecture, design, and code reviews. Preferred Qualifications: Experience building clinical decision support systems, EHR integrations, or AI-based triage tools. Familiarity with LangChain, Haystack, FastAPI, gRPC, and OCI or any other publiccloud environments. Strong communication skills and the ability to translate complex technical topics for diverse stakeholders. Background in mentoring, growing engineering talent, and establishing design best practices Why Join Us? Join a mission-driven team transforming healthcare through agentic AI and intelligent automation. Work on cutting-edge technology that directly impacts clinical workflows and patient outcomes. Collaborate with thought leaders in healthcare, AI, and software architecture. Competitive compensation, equity, and comprehensive benefits.

Role Overview: We are looking for a visionary Enterprise IT Architect to lead the transformation of our IT organization into an Agentic AI-driven powerhouse. This individual will architect modern, scalable, AI-native IT platforms that optimize operations, drive automation, and showcase how next-gen IT can innovate at scale. You will work across infrastructure, applications, data, security, and operations to infuse agentic capabilities into the fabric of enterprise IT. Here is how, through this exciting role, you will contribute to BMC's and your own success: Architect AI-native IT Systems : Design modern enterprise architectures that embed autonomous AI agents across IT functions including operations, service management, monitoring, and security. Enable Agentic AI Use Cases : Translate IT goals into agentic AI use cases across ticket triage, auto-remediation, provisioning, governance, and user support. Drive Platform Modernization : Lead the modernization of legacy IT platforms to be cloud-native, API-first, and AI-ready. Champion Automation & Observability : Implement intelligent automation, real-time observability, and self-healing capabilities using LLMs, agents, and RPA. Collaborate Cross-functionally : Partner with engineering, security, infrastructure, and product teams to ensure seamless integration of AI agents with enterprise systems. Evaluate and Adopt Technologies : Assess AI toolkits, orchestration frameworks, and multi-agent systems for enterprise applicability. Strategic Roadmapping : Contribute to the roadmap for AI transformation in IT aligned with business outcomes and goals Security and Governance : Ensure that AI-driven architectures meet enterprise-grade standards for risk, compliance, and governance. To ensure youre set up for success, you will bring the following skillset & experience: Mandatory Skills : 10+ years of experience in enterprise IT architecture, with 3+ years in AI Proven experience architecting solutions involving AI agents, cloud platforms (AWS, Azure, GCP). Deep understanding of AI orchestration frameworks, LLMs, agent stacks (e.g., AutoGen, LangChain, CrewAI), and observability tools. Experience designing IT solutions with resilience, security, and scale in mind. Strong knowledge of ITIL, SRE principles, DevOps, and enterprise systems (ERP, identity, asset management, etc.). Passion for innovation, continuous improvement, and being customer-zero for AI-driven IT. Preferred Skills : Familiarity with agent simulation environments and feedback loops. Exposure to enterprise use of generative AI, vector databases, and cloud-native ML pipelines. Strategic mindset with the ability to balance innovation with risk, cost, and governance.

Thoughtworks Singapore will be shortlisting applicants who have a current right to work in Singapore i.e. Singapore Citizens and Singapore Permanent Residents only. At Thoughtworks, Lead AI Infrastructure Engineers design and maintain high-performance, scalable, and resilient infrastructure for modern AI workloads. Youll focus on enabling advanced inference systems, including LLMs, VLMs, and SLMs, across on-premises GPU clusters and cloud environments. This role is critical to ensuring our clients AI systems achieve demanding requirements for throughput, latency, availability, and compliance. As a senior technical leader, you will partner with ML engineers, platform engineers, AI researchers, and client stakeholders to deliver optimized infrastructure that is both robust and future-proof. You will combine deep expertise in GPU-based inference infrastructure with a broader understanding of DevOps, agile delivery, and platform engineering to drive impactful AI solutions at enterprise scale. Job responsibilities Design and operate GPU-based infrastructure (e.g., NVIDIA GB200, H100) across cloud and self-hosted environments. Architect scalable inference platforms that support real-time and batch serving with high availability, load balancing, and fault tolerance. Integrate inference workloads with orchestration frameworks such as Kubernetes, Slurm, and Ray, as well as observability stacks like Prometheus, Grafana, and OpenTelemetry. Automate infrastructure provisioning and deployment using Terraform, Helm, and CI/CD pipelines. Collaborate with ML engineers to co-design systems optimized for low-latency serving, continuous batching, and advanced inference optimization techniques (quantization, distillation, pruning, KV caching). Lead client engagements by shaping technical roadmaps that align AI infrastructure with business objectives, ensuring compliance, scalability, and performance. Champion DevOps and agile practices to accelerate delivery while maintaining reliability, quality, and resilience. Mentor and guide teams in best practices for AI infrastructure engineering, fostering a culture of technical excellence and innovation. Job qualifications Technical Skills Expertise in GPU-based infrastructure for AI (H100, GB200, or similar), including scaling across clusters. Strong knowledge of orchestration frameworks: Kubernetes, Ray, Slurm. Experience with inference-serving frameworks (vLLM, NVIDIA Triton, DeepSpeed). Proficiency in infrastructure automation (Terraform, Helm, CI/CD pipelines). Experience building resilient, high-throughput, low-latency systems for AI inference.Strong background in observability and monitoring: Prometheus, Grafana, OpenTelemetry. Familiarity with security, compliance, and governance concerns in AI infrastructure (data sovereignty, air-gapped deployments, audit logging). Solid understanding of DevOps, cloud-native architectures, and Infrastructure as Code. Exposure to multi-cloud and hybrid deployments (AWS, GCP, Azure, sovereign/private cloud). Experience with benchmarking and cost/performance tuning for AI systems. Background in MLOps or collaboration with ML teams on large-scale AI production systems. Professional Skills Proven ability to partner with senior client stakeholders (CTO, CIO, COO) and translate technical strategy into business outcomes. Skilled at leading multi-disciplinary teams and building trust across diverse technical and business functions. Strong communication skills, with the ability to explain complex AI infrastructure concepts to both technical and non-technical audiences. Comfortable navigating uncertainty, making pragmatic decisions, and adapting quickly to evolving technologies. Passionate about creating scalable, sustainable, and high-impact solutions that help transform industries with AI. Other things to know Learning & Development There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.

The Principal Data Scientist/AI Engineer is a senior technical expert who leads complex, high-impact AI initiatives across the organization. This role is responsible for driving architectural decisions, establishing reusable frameworks, and influencing the AI strategy at an enterprise level. The Principal AI Engineer operates as a cross-functional advisor, mentoring engineering teams, evaluating emerging technologies, and setting the long-term direction for AI systems at scale. Key Responsibilities: Serve as the technical authority on all AI/ML and GenAI solutions across business lines Define and enforce AI security, ethical AI principles, and model governance guidelines in line with global standards Design and review architectures for GenAI, LLM integrations, and autonomous agent systems Develop reusable frameworks for MLOps, data pipelines, vector store integrations, and RAG-based systems Identify and integrate state-of-the-art AI capabilities, tools, and libraries through continuous research and experimentation Lead cross-functional technical reviews, influence design across product and engineering teams Mentor Lead and Senior Engineers on advanced system design, experimentation, and production deployment Represent AI Engineering in enterprise architectural councils or tech steering groups Build thought leadership through white papers, tech talks, and participation in AI communities Qualifications: Masters or PhD in AI/ML, Computer Science, or related quantitative field 8+ years of experience in advanced AI/ML solutioning, including system-level design Proven track record of leading large-scale, production-grade AI initiatives Deep expertise in GenAI: OpenAI/Anthropic APIs, model customization, LangChain, vector DBs, orchestration frameworks Advanced knowledge of cloud AI stacks (Azure preferred), data engineering, containerization, and MLOps workflows Strong understanding of security, privacy, explainability, and compliance in AI/ML solutions Preferred Qualifications: Experience in defining enterprise-wide AI/ML standards and frameworks Participation in AI patent filings, publications, or open-source contributions Ability to influence non-technical leaders and translate technical depth into strategic direction.

At Regus, weve built the worlds largest workspace network so that our customers can work better, faster, happier Join us in one of our Regus centre teams Bring more freedom to more people and businesses And youll be able to work better, faster and happier too, The opportunity As a Community Associate, youll work closely with new and existing customers, solving problems for them and making sure they have everything they need, A typical day at Regus You arrive 15 minutes before your centre opens to make sure everything is ready and check theres nothing the cleaners have missed, Customers start coming in thick and fast One asks you for a changed WiFi code Another wants to know if his important package has arrived A woman needs directions to her meeting room? and can you help her set up the projector and take an order for drinks The mail arrives You sort through it while dealing with a whole host of other customer requests, remembering to email the customer from earlier to let him know his package is waiting for him in his mailbox And thats lunch, Early afternoon, you sit down with the Community Manager to discuss the organisation of next weeks networking event You plan and write the invites to customers, then create, print and put up posters on the noticeboards around the centre, The day is coming to a close Time to gently ask the large group in meeting room 3 to start wrapping up You direct them to the nice restaurant you know around the corner, so they can grab a bite and continue their discussion Once the last person has left the building and everythings nice and tidy, its time to head home, About You Were looking for someone who knows how to manage multiple tasks while providing customers with the best possible service You also need to be: A good communicator, with the ability to build strong professional relationships and empathise with peoples needs Happy taking ownership of problems and finding ways to solve them Positive, enthusiastic and able to adapt to fast-changing situations Confident using MS Office and other basic IT packages What We Offer On top of a competitive salary package youll enjoy: A bright and inspiring work environment Training and development opportunities

About Atos Atos is a global leader in digital transformation with c 78,000 employees and annual revenue of c ?10 billion European number one in cybersecurity, cloud and high-performance computing, the Group provides tailored end-to-end solutions for all industries in 68 countries A pioneer in decarbonization services and products, Atos is committed to a secure and decarbonized digital for its clients Atos is a SE (Societas Europaea) and listed on Euronext Paris, The purpose of Atos is to help design the future of the information space Its expertise and services support the development of knowledge, education and research in a multicultural approach and contribute to the development of scientific and technological excellence Across the world, the Group enables its customers and employees, and members of societies at large to live, work and develop sustainably, in a safe and secure information space, ASSOCIATE MANAGER Location: Mumbai/Bangalore Experience: 5 to 8 years Responsibilities Conduct comprehensive security assessments, including network penetration testing and vulnerability analysis, to identify security gaps in critical systems, Simulate real-world attacks to test the effectiveness of security measures and identify potential weaknesses, Develop and execute red team operations, including social engineering, network exploitation, and physical security testing, Create detailed reports documenting findings, attack vectors, and remediation strategies, Stay up-to-date with the latest security trends, tools, and techniques to ensure cutting-edge testing methodologies, Complete the projects within budgeted efforts and deliver high quality reports, Open for onsite deployments anywhere across the world as business demands Required Skill Set Bachelors degree in computer science, Information Security, or a related field, Strong understanding of network protocols, operating systems, and security architectures, Proficiency in using penetration testing tools such as Nessus, Metasploit, Burp Suite, and Wireshark and similar, Flexible and creative in helping to find acceptable solutions for customers, Excellent problem-solving skills and the ability to think like an attacker, Strong verbal and written communication skills to effectively convey complex security issues to technical and non-technical stakeholders, Relevant certifications such as OSCP, OSCE, CRTP or similar, Good To Have Skills Experience with reverse engineering and exploit development, Knowledge of cloud security and containerization technologies, Familiarity with regulatory requirements and industry standards (e g , GDPR, PCI-DSS, ISO) Ability to work on multiple complex assignments simultaneously, #Eviden

The Principal Data Scientist/AI Engineer is a senior technical expert who leads complex, high-impact AI initiatives across the organization. This role is responsible for driving architectural decisions, establishing reusable frameworks, and influencing the AI strategy at an enterprise level. The Principal AI Engineer operates as a cross-functional advisor, mentoring engineering teams, evaluating emerging technologies, and setting the long-term direction for AI systems at scale. Key Responsibilities: Serve as the technical authority on all AI/ML and GenAI solutions across business lines Define and enforce AI security, ethical AI principles, and model governance guidelines in line with global standards Design and review architectures for GenAI, LLM integrations, and autonomous agent systems Develop reusable frameworks for MLOps, data pipelines, vector store integrations, and RAG-based systems Identify and integrate state-of-the-art AI capabilities, tools, and libraries through continuous research and experimentation Lead cross-functional technical reviews, influence design across product and engineering teams Mentor Lead and Senior Engineers on advanced system design, experimentation, and production deployment Represent AI Engineering in enterprise architectural councils or tech steering groups Build thought leadership through white papers, tech talks, and participation in AI communities Qualifications: Masters or PhD in AI/ML, Computer Science, or related quantitative field 8+ years of experience in advanced AI/ML solutioning, including system-level design Proven track record of leading large-scale, production-grade AI initiatives Deep expertise in GenAI: OpenAI/Anthropic APIs, model customization, LangChain, vector DBs, orchestration frameworks Advanced knowledge of cloud AI stacks (Azure preferred), data engineering, containerization, and MLOps workflows Strong understanding of security, privacy, explainability, and compliance in AI/ML solutions Preferred Qualifications: Experience in defining enterprise-wide AI/ML standards and frameworks Participation in AI patent filings, publications, or open-source contributions Ability to influence non-technical leaders and translate technical depth into strategic direction

Role & responsibilities The ideal candidate will have extensive experience in Java development and a strong command of the Spring framework. You will work on building robust, scalable, and high-performance applications, collaborating closely with cross-functional teams to deliver innovative solutions. Key Responsibilities: Design, develop, and maintain enterprise-grade applications using Core Java and Spring frameworks (Spring Boot, Spring MVC, Spring Security). Develop RESTful APIs and integrate with front-end and third-party services. Optimize application performance and troubleshoot production issues. Collaborate with architects, product owners, and QA teams to deliver high-quality software solutions. Participate in code reviews, design discussions, and agile development ceremonies. Mentor junior developers and contribute to improving coding standards and processes. Required Skills and Experience: 6-8 years of solid experience in Core Java development. Strong expertise in Spring ecosystem: Spring Boot, Spring MVC, Spring Security, and Spring Data. Experience in developing RESTful APIs and microservices architecture. Proficient in ORM frameworks such as Hibernate or JPA. Good understanding of multithreading, collections, and design patterns. Experience with build tools like Maven or Gradle and version control systems (Git). Familiarity with Agile/Scrum methodologies. Excellent problem-solving and communication skills. Educational Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. What We Offer: Opportunity to work on cutting-edge technologies and challenging projects. Collaborative and innovative work environment. Career growth and learning opportunities Skills Core Java,Spring,Restful APIs Preferred candidate profile Immediate joiners preferred(upto 30 days)

Responsibilities: * Develop AI solutions using Python, ML algorithms & NLP techniques. * Collaborate with cross-functional teams on backend dev & frontend UX.

About The Role Job Title Ind & Func AI Decision Science Manager - S&C GN Management Level :7 - Manager Location:Open Must have skills: Generative AI, Agentic AI, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration, Machine Learning, Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 7 years of experience in AI/ML, with demonstrated expertise leading teams in Generative AI application and agentic system delivery, preferably within a consulting or client-facing environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Manager, you will lead cross-functional teams in the design, development, and deployment of advanced AI agents and multi-modal AI solutions that autonomously execute complex business workflows. You will be responsible for defining and implementing Gen AI and agentic AI strategies for clients, ensuring successful delivery of large-scale AI initiatives. Your expertise will drive innovation, build client relationships, and shape the roadmap for autonomous AI-driven business transformation. Qualification Roles & Responsibilities: Strategic Leadership & Project Delivery Oversee the end-to-end lifecycle of AI projects, from requirements gathering and solution architecture to deployment and post-implementation support Provide thought leadership and guidance to consultants and engineers on cutting-edge Gen AI and Agentic AI technologies Define and communicate a strategic vision for AI agent solutions, ensuring alignment with client business objectives Client & Stakeholder Engagement Act as a trusted advisor to clients, translating complex AI concepts into actionable business solutions Drive discussions on Gen AI best practices, risk management, AI safety, and governance Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

About The Role Job Title Ind & Func AI Decision Science Consultant - S&C GN Management Level :9 - Consultant Location:Gurgaon Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 4 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Qualification Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

About The Role Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location:Gurgaon Must have skills: Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills: AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Experience: Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification: Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Qualification Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | Accenture (do not remove the hyperlink)

Senior Data Engineer (Databricks) REMOTE Location: Remote (Portugal) Type: Contract Experience: 5+ Years Language: Fluent English required We are looking for a Senior Data Engineer to join our remote consulting team. In this role, you'll be responsible for designing, building, and optimizing large-scale data processing systems using Databricks and modern data engineering tools. You’ll collaborate closely with data scientists, analysts, and technical teams to deliver scalable and reliable data platforms. Key Responsibilities Design, develop, and maintain robust data pipelines for processing structured/unstructured data Build and manage data lakes and data warehouses optimized for analytics Optimize data workflows for performance, scalability, and cost-efficiency Collaborate with stakeholders to gather data requirements and translate them into scalable solutions Implement data governance, data quality, and security best practices Migrate legacy data processes (e.g., from SAS) to modern platforms Document architecture, data models, and pipelines Required Qualifications 5+ years of experience in data engineering or related fields 3+ years of hands-on experience with Databricks Strong command of SQL and experience with PostgreSQL, MySQL, or NoSQL databases Programming experience in Python, Java, or Scala Experience with ETL processes, orchestration frameworks, and data pipeline automation Familiarity with Spark, Kafka, or similar big data tools Experience working on cloud platforms (AWS, Azure, or GCP) Prior experience migrating from SAS is a plus Excellent communication skills in English

Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location :Gurgaon Must have skills :Generative AI, Agentic AI Systems, Model Context Protocol (MCP), Large Language Models (LLMs), Multi-Agent Systems, Python, SQL, AI Agent Orchestration Good to have skills:AI Refinery, LangChain, LlamaIndex, AutoGen, Crew AI, Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision, Vector Databases, RAG (Retrieval-Augmented Generation), Function Calling, Tool Integration Job Summary :As an AI Decision Science Analyst, you will lead the design, development, and deployment of sophisticated AI agents and multi-modal AI solutions that can autonomously execute complex business workflows. You will leverage cutting-edge Generative AI, Agentic AI frameworks, and Model Context Protocol (MCP) integrations to create intelligent systems that can reason, plan, and act independently to solve complex business challenges across various industries. Your expertise will drive innovation in autonomous AI solutions and deliver transformative value for clients through intelligent agent orchestration and seamless system integrations. Roles & Responsibilities: Advanced Generative AI & Agentic System Development o Design and implement sophisticated AI agents using frameworks like AI Refinery, LangChain, AutoGen, CrewAI, and custom agentic architectures o Develop multi-agent systems that can collaborate, negotiate, and execute complex workflows autonomously o Implement Model Context Protocol (MCP) integrations for seamless communication between AI systems and external tools/APIs o Build and deploy Generative AI applications with advanced reasoning, planning, and execution capabilities Leverage Advanced Data Science Techniques: o Develop solutions using Computer Vision, Machine Learning, and Large Language Models (LLMs). o Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models: o Build and deploy AI models and Generative AI applications. o Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. o Evaluate model performance and implement iterative improvements. Solution Integration and Deployment: o Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. o Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing: o Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. o Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: Must To Have Skills: Expert proficiency in Generative AI, Agentic AI Systems, Model Context Protocol (MCP), LLMs, Multi-Agent Systems, Python, SQL, AI Agent Orchestration frameworks. Cloud & Infrastructure:AWS/Azure/GCP, Docker, Kubernetes, Spark, MLOps pipelines for agentic systems Specialized Knowledge:NLP, Computer Vision, Reinforcement Learning for agent training, Multi-modal AI systems Experience in developing and AI/ML models. Professional & Technical Skills: The ideal candidate will possess deep expertise in agentic AI systems with a proven track record of building autonomous AI solutions that can execute complex business workflows Strong understanding of AI safety, alignment, and governance principles for autonomous systems Experience with enterprise-grade AI agent deployments and production system management This position is based at our Gurugram office with opportunities to lead cutting-edge AI innovation projects About Our Company | AccentureQualification Experience :Minimum 2 years of experience in AI/ML with demonstrated expertise in Generative AI applications and agentic systems, preferably within a consulting environment Educational Qualification:Bachelor's or Master's degree (BE/BTech/MBA/MS) in Statistics, Computer Science, Mathematics, AI/ML, or related disciplines with an excellent academic record

We are looking for a talented Sr. Backend Python Developer to strengthen the Generative AI engineering team. You will focus on developing secure, scalable, and efficient services for the AI platform. You'll contribute to building APIs, vector database integration, and LLM orchestration pipelines that drive real-time document understanding and AI-driven insights. Responsibilities Design, develop, and optimize RESTful and streaming APIs using FastAPI and Python. Architect scalable and modular microservices, integrating with vector databases such as Azure AI Search, AstraDB, or FAISS. Implement Retrieval-Augmented Generation (RAG) pipelines and intelligent document ingestion workflows. Build backend services supporting AI chatbot functionality, including prompt orchestration, real-time LLM responses, and streamed chat experiences. Manage user access control, chat history, token usage tracking, and metadata services for documents. Apply software engineering best practices including Design Patterns (e.g., Singleton, Factory) and clean architecture principles. Leverage SQLAlchemy ORM for database modeling and asynchronous I/O for scalable performance. Ensure secure coding practices, observability, and robust error handling. Work on API Gateway design and implementation for managing authentication, rate limiting, and routing. Deploy and manage services using Docker, Kubernetes, and cloud infrastructure on Azure or equivalent (AWS/GCP). Integrate and operationalize Azure AI Services (e.g., OpenAI, Azure Search, Cognitive Services) or comparable cloud-based AI tools. Qualifications 5+ years (5 min to 8 max years)of experience in Python backend development, with a strong understanding of asynchronous programming. Expertise in FastAPI, SQLAlchemy, Pydantic, and scalable backend architecture. Hands-on experience with chatbot development and integrating LLMs (e.g., GPT, Claude, Gemini) into backend systems. Familiarity with LLM orchestration frameworks such as LangChain, OpenAI SDK, or LlamaIndex. Strong knowledge of RAG architecture and real-time document-query pipelines. Experience with API Gateway management and building secure, multi-tenant backend platforms. Proficiency in SQL/NoSQL databases such as Postgre SQL,MYSQL or CosmosDB. Experience integrating Azure AI Services, or equivalents from AWS or Google Cloud. Understanding of role-based access control and secure authentication using JWT/OAuth2. Familiarity with containerization (Docker), CI/CD workflows, and monitoring/logging tools. Hands on with frontend technologies such as Next.js, React.js, TypeScript, and Tailwind CSS to enable better cross-functional collaboration. Understanding of frontend-backend integration, chat UI streaming, and WebSockets/SSE mechanisms. Exposure to document processing, chat memory management, and multi- agent prompt routing. Contributions to open-source Generative AI tools, AI agents, or internal LLM platforms. Experience working in Agile teams, writing unit/integration tests, and participating in code reviews.

Role & responsibilities : 10+ years in IT, with 5+ years in enterprise architecture and cloud computing roles. 3+ years of working experience in connected vehicles and data engineering will be an added advantage Proven experience with cloud migration, digital transformation, and hybrid environments. Strong understanding of business processes and enterprise applications (e.g., ERP, CRM). Expertise in cloud platforms (AWS, Azure, GCP), containers (Docker, Kubernetes), and DevOps practices. Strong analytical, leadership, and communication skills. Ability to influence and collaborate with stakeholders across the organization.

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter Top 20 most downloaded apps globally, and worlds #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions We in the Data Infrastructure Team work on a vision to empower our product-oriented teams with a complete self-service analytics platform to make data-driven decisions possible in Truecaller, guaranteeing the stability, velocity, and delivery of the mainstream events pipeline As a Senior Data Engineer, you will play an important role in the development of data pipelines, frameworks and models to support the understanding of our users and make better product decisions You will contribute to empowering the product teams with a complete self-serve analytics platform by working on scalable and robust solutions while collaborating with data engineers, data scientists and data analysts across the company What you bring in: 6+ years of hands-on experience in data engineering and large-scale distributed systems Proven expertise in building and maintaining complex ETL/ELT pipelines Deep knowledge of orchestration frameworks (e g , Airflow), and workflow optimization Strong cloud infrastructure experience (GCP preferred; AWS or Azure also relevant) Expert-level programming in Python or Scala; solid understanding of Spark internals Experience with CI/CD tools (e g , Jenkins, GitHub Actions) and infrastructure as code Familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes Experience managing data warehouse in BigQuery or Redshift Strong communication skills and a proactive, problem-solving mindset The impact you will create: Design , build and optimize the data ingestion pipeline to reliably deliver billions of events daily in defined SLA Lead initiatives to improve scalability , performance and reliability Provide support for all product teams in building and optimizing their complex pipelines Identify and address pain points in the existing data platform; propose and implement high-leverage improvements Develop new tools and frameworks to streamline the data platform workflows Drive adoption of best practices in data and software engineering (testing, CI/CD, version control, monitoring) Work in close collaboration with data scientists and data analysts to help support their work in production Support production ML workflows and real-time streaming use cases Mentor other engineers and contribute to a culture of technical excellence and knowledge sharing It would be great if you also have: Working with messaging systems like Kafka , Redpanda Experience with real-time data streaming platforms (e g , Flink, Spark Structured Streaming) Familiarity with ML platforms or MLOps workflows Life at Truecaller Behind the code: https://www instagram com/lifeattruecaller/ Sounds like your dream job We will fill the position as soon as we find the right candidate, so please send your application as soon as possible As part of the recruitment process, we will conduct a background check This position is based in Bangalore, India We only accept applications in English What we offer: A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc All those things make you who you are, and thats why we would love to meet you

Hello, Truecaller is calling you from Bangalore, India! Ready to pick up Our goal is to make communication smarter, safer, and more efficient, all while building trust everywhere We're all about bringing you smart services with a big social impact, keeping you safe from fraud, harassment, scam calls or messages, so you can focus on the conversations that matter Top 20 most downloaded apps globally, and worlds #1 caller ID and spam-blocking service for Android and iOS, with extensive AI capabilities, with more than 450 million active users per month Founded in 2009, listed on Nasdaq OMX Stockholm and is categorized as a Large Cap Our focus on innovation, operational excellence, sustainable growth, and collaboration has resulted in consistently high profitability and strong EBITDA margins A team of 400 people from ~35 different nationalities spread across our headquarters in Stockholm and offices in Bangalore, Mumbai, Gurgaon and Tel Aviv with high ambitions We in the Data Infrastructure Team work on a vision to empower our product-oriented teams with a complete self-service analytics platform to make data-driven decisions possible in Truecaller, guaranteeing the stability, velocity, and delivery of the mainstream events pipeline As a Senior Data Engineer Platform, you will play an important role in the development of data pipelines, frameworks and models to support the understanding of our users and making better product decisions You will contribute to empowering the product teams with a complete self-serve analytics platform by working on scalable and robust solutions while collaborating with data engineers, data scientists and data analysts across the company What You Bring In 6+ years of hands-on experience in data engineering and large-scale distributed systems Proven expertise in building and maintaining complex ETL/ELT pipelines Deep knowledge of orchestration frameworks (e g , Airflow), and workflow optimization Strong cloud infrastructure experience (GCP preferred; AWS or Azure also relevant) Expert-level programming in Python or Scala; solid understanding of Spark internals Experience with CI/CD tools (e g , Jenkins, GitHub Actions) and infrastructure as code Familiarity with managing self-hosted tools like Spark or Airflow on Kubernetes Experience managing data warehouse in BigQuery or Redshift Strong communication skills and a proactive, problem-solving mindset The Impact You Will Create Design , build and optimize the data ingestion pipeline to reliably deliver billions of events daily in defined SLA Lead initiatives to improve scalability , performance and reliability Provide support for all product teams in building and optimizing their complex pipelines Identify and address pain points in the existing data platform; propose and implement high-leverage improvements Develop new tools and frameworks to streamline the data platform workflows Drive adoption of best practices in data and software engineering (testing, CI/CD, version control, monitoring) Work in close collaboration with data scientists and data analysts to help support their work in production Support production ML workflows and real-time streaming use cases Mentor other engineers and contribute to a culture of technical excellence and knowledge sharing It Would Be Great If You Also Have Working with messaging systems like Kafka , Redpanda Experience with real-time data streaming platforms (e g , Flink, Spark Structured Streaming) Familiarity with ML platforms or MLOps workflows Life at Truecaller Behind the code: https://www instagram com/lifeattruecaller/ Sounds like your dream job We will fill the position as soon as we find the right candidate, so please send your application as soon as possible As part of the recruitment process, we will conduct a background check This position is based in Bangalore, India We only accept applications in English What We Offer A smart, talented and agile team: An international team where ~35 nationalities are working together in several locations and time zones with a learning, sharing and fun environment A great compensation package: Competitive salary, 30 days of paid vacation, flexible working hours, private health insurance, parental leave, telephone bill reimbursement, Udemy membership to keep learning and improving and Wellness allowance Great tech tools: Pick the computer and phone that you fancy the most within our budget ranges Office life: We strongly believe in the in-person collaboration and follow an office-first approach while offering some flexibility Enjoy your days with great colleagues with loads of good stuff to learn from, daily lunch and breakfast and a wide range of healthy snacks and beverages In addition, every now and then check out the playroom for a fun break or join our exciting parties and or team activities such as Lab days, sports meetups etc There something for everyone! Come as you are: Truecaller is diverse, equal and inclusive We need a wide variety of backgrounds, perspectives, beliefs and experiences in order to keep building our great products No matter where you are based, which language you speak, your accent, race, religion, color, nationality, gender, sexual orientation, age, marital status, etc All those things make you who you are, and thats why we would love to meet you Job info Location Bengaluru, Karnataka, India Category Data Engineering Team Platform Posted today

Support enhancements to the MDM platform Develop pipelines using snowflake python SQL and airflow Track System Performance Troubleshoot issues Resolve production issues Required Candidate profile 5+ years of hands on expert level Snowflake, Python, orchestration tools like Airflow Good understanding of investment domain Experience with dbt, Cloud experience (AWS, Azure) DevOps

Key Responsibilities: Design and implement scalable data pipelines using ETL/ELT frameworks. Develop and maintain data models and data warehouse architecture using Snowflake. Build and manage DBT (Data Build Tool) models for data transformation and lineage tracking. Write efficient and reusable Python scripts for data ingestion, transformation, and automation. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements. Ensure data quality, integrity, and governance across all data platforms. Monitor and optimize performance of data pipelines and queries. Implement best practices for data engineering, including version control, testing, and CI/CD. Required Skills and Qualifications: 8+ years of experience in data engineering or a related field. Strong expertise in Snowflake including schema design, performance tuning, and security. Proficiency in Python for data manipulation and automation. Solid understanding of data modeling concepts (star/snowflake schema, normalization, etc.). Experience with DBT for data transformation and documentation. Hands-on experience with ETL/ELT tools and orchestration frameworks (e.g., Airflow, Prefect). Strong SQL skills and experience with large-scale data sets. Familiarity with cloud platforms (AWS, Azure, or GCP) and data services.

Job Summary As a Software Engineer you will work as part of a team of skilled Application engineers accountable for participating in the development, debugging, maintenance & testing As part of the Research and Development function, system software engineers focus on enhancements to existing products as well as new product development, needing a deep working knowledge of both systems and Kubernetes, Job Requirements Strong programming skills in NodeJS and Golang technologies, development using microservices architecture, and Kubernetes, Strong in Data Structures and algorithms, Expertise in cloud technologies, containers, and orchestration frameworks like Kubernetes Experience in developing services in any of the major cloud providers preferred, Full-stack developer preferred, Should have a good storage and networking background and an understanding of concepts around the same, Should be very versatile with Windows/UNIX OS, its technologies, and understanding, Good understanding of REST API design and implementation, Knowledge of databases (MSSQL & MySQL), and UI/UX design Should have participated in all phases of the product development cycle from Requirement understanding and design, through Implementation and Test design, Should have attained experience and knowledge in solving complex problems, Prior experience in developing high-scale and performant systems, Coding, Design, Development, Debugging, Reliability & Research, You will participate in technical discussions within the immediate group and across functions, where evaluating and executing design and development plans for products are reviewed, Should have a strong aptitude to learn new technologies, Education A minimum of 4 8 years of experience is required A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master degree, or a PhD; or equivalent experience with little to 3 years of experience, Demonstrated ability to have completed multiple, moderately complex projects, At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process, Equal Opportunity Employer NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification, Why NetApp We are all about helping customers turn challenges into business opportunity It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches, We enable a healthy work-life balance Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life, If you want to help us build knowledge and solve big problems, let's talk,

Job Title: Senior Solution Architect Location : Bengaluru (WFO) Architectural Leadership: Serve as the Azure Solution Architect with specific sector knowledge, setting the direction for cloud architecture and ensuring alignment with the organization's technical strategy and O&G industry standards . Uphold industry best practices and standards specific to the O&G sector . Technology Roadmap: Construct and continuously update an Azure-focused technology roadmap, aligning with the organization's long-term goals. Explore and identify cutting-edge Azure services and features that can propel technological advancement. Strategically plan and implement upgrades to bolster the organization's competitive position and enhance the scalability of Azure-based solutions. Solution Design: Take the lead in design and architecture complex Azure solutions , with a strong focus on ensuring scalability, robust security, and cost-effectiveness and alignment with nuanced demands of the O&G industry. Stakeholder Engagement: Work in tandem with various service lines, such as engineering divisions and business stakeholders, to align Azure architectural strategies with the core business objectives and ensure the designs are in sync with the business's forward direction. Possess the ability to effectively communicate Azure technical strategies to non-technical stakeholders, thereby facilitating their participation in informed decision-making. Mentorship and Guidance: Offer Azure technical leadership and mentorship to solution squads. an environment of innovation, continuous improvement, and technical prowess across the organization. Cultivate Compliance and Best Practices: Guarantee Azure solutions meet regulatory demands and O&G-specific standards, including those related to safety, environment, and operations. Risk Assessment: Proactively identify and assess technical risks linked with Azure infrastructure and applications. Collaborate with multifaceted teams to formulate and implement measures to alleviate the detected risks. As a Solution Architect, it is crucial to pinpoint potential risks during the solution development phase and devise comprehensive risk mitigation plans for all solutions crafted. Industry Expertise: Stay informed about emerging technologies, trends, and standards in the oil and gas industry. Evaluate the potential impact of new technologies and provide recommendations for adoption both in upcoming solution designs as well as enhancement of solution architectures. Vendor Management: Engage with external vendors and technology associates to scrutinize third-party offerings compatible with Azure. Integrate these third-party solutions effortlessly, ensuring they complement and reinforce the broader Azure architectural strategy and the business objectives. Masters (or) Bachelor’s degree in Computer Science, Engineering, or Information Technology or a related field (or equivalent experience). Over all 8+ years of experience required for Solution Architect 8+ years of prior experience as a solution architect, preferably in the oil and gas industry or 8+ years of prior experience as a software engineer or similar role. Extensive experience in the oil and gas sector, including knowledge of industry-specific challenges and opportunities. Technical Expertise: Strong experience should have an in-depth understanding of Azure services and architecture, including IaaS, PaaS, and SaaS solutions. They should be adept at designing and implementing complex cloud infrastructure, ensuring scalability, reliability, and security. Also, strong experience in multi-cloud environments like AWS, GCP and their application migrations and management in O&G specifically. Advanced Problem-Solving: They must possess strong analytical skills to troubleshoot and resolve high-level technical issues. This includes the ability to perform root cause analysis and implement long-term solutions to prevent recurrence. Strategic Planning: The architect should be capable of developing strategic plans for cloud adoption and migration, aligning with the organization's goals. They should be able to evaluate and recommend new technologies and approaches to drive continuous improvement. Communication Skills: Excellent communication skills are essential for translating technical concepts to non-technical stakeholders, facilitating clear and effective discussions between cross-functional teams, and presenting proposals and progress reports to senior management. Client Engagement: Capable to work closely with clients (internal clients) to understand their business requirements and constraints, ensuring that the cloud solutions designed meet their needs and expectations. Innovation: With extensive experience, they should be at the forefront of innovation, exploring new cloud technologies and methodologies, and integrating them into the organization's practices to gain competitive advantage. Leadership and Mentorship: As a seasoned leader, the Senior Solution Architect should set the technical direction and make pivotal decisions that define the organization's cloud strategy, while also serving as a mentor to uplift junior architects and engineers. They must lead by example, inspiring teams through complex initiatives and fostering professional growth by imparting knowledge, best practices, and constructive feedback to nurture the next generation of technical experts. Must have Master’s or Bachelor’s degree in computer science engineering or information technology or Relevant field. Relevant certifications such as Microsoft Certified: Azure Solutions Architect Expert or similar. Microsoft AZ900 Certification & AZ 305 Certification TOGAF or ArchiMate or Zachman or equivalent architecture frameworks experience Experience in automation using Python, Gen AI, AI Ops, etc. Experience with data integration, data warehousing, and big data technologies. Experience with containerization and orchestration tools (e.g., any 2 of following: Docker, OpenShift, Kubernetes, ECS, GKE, AKS, EKS, Rancher, Apache Mesos, Nomad, Docker Swarm, Kubernetes). Understanding of the O&G sector's operational workflows, including the intricacies of exploration, extraction, refining, and distribution activities, to tailor cloud-based solutions that complement the industry's unique needs. Competence in tackling technical hurdles specific to the O&G domain, such as efficient asset management in isolated areas, processing extensive seismic datasets, and ensuring compliance with strict regulatory frameworks. Proficiency in leveraging Azure cloud technologies to enhance the O&G Industry's operational effectiveness, utilizing tools like IoT, advanced data analytics, and machine learning for better results Experience with CI/CD pipelines and automated testing frameworks (e.g. CircleCI, Jenkins, TeamCity, Travis CI, Bamboo, Bitbucket, etc.) Strong interpersonal skills with the ability to engage effectively with both technical and non-technical stakeholders. Role & responsibilities Preferred candidate profile

Job Summary As a Software Engineer you will work as part of a team of skilled Application engineers accountable for participating in the development, debugging, maintenance & testing. As part of the Research and Development function, system software engineers focus on enhancements to existing products as well as new product development, needing a deep working knowledge of both systems and Kubernetes. Job Requirements Strong programming skills in .Net core, Java and Golang technologies, development using microservices architecture and Kubernetes. Strong in Data Structures and algorithms. Expertise in cloud technologies, containers, orchestration frameworks like Kubernetes. Experience in developing services in any of the major cloud providers preferred. Full Stack developer preferred. Should have a good storage background and understanding of concepts around the same. Should be very versatile with Windows/UNIX OS , its technologies and understanding. Good understanding in REST API design and implementation. Knowledge one of databases (SQL, Oracle or HANA), and UI/UX design Should have participated in all phases of the product development cycle from Requirement understanding, Design, through Implementation and Test design. Should have attained experience and knowledge in solving complex problems. Prior experience in developing high scale and performant systems. Should have strong aptitude to learn new technologies. Should be a good team player. Essential Functions: • A major part of your responsibility will be to apply current skills and use up-to-date technologies to complete projects as part of the development cycle including: • Coding, Design, Development, Debugging, Reliability & Research. • You will participate in technical discussions within the immediate group and across functions, where evaluating and executing design and development plans for products are reviewed. Education • A Bachelor of Science Degree in Electrical Engineering or Computer Science, a Master degree, or a PhD; or equivalent experience with 2 to 4 years of experience.

Job Summary As a Software Engineer, you will be part of a team of skilled Application engineers accountable for participating in development, debugging, maintenance, and testing. As part of the Research and Development function, system software engineers focus on enhancements to existing products and new product development, needing a deep working knowledge of both systems and Kubernetes. Job Requirements Strong programming skills in .Net core, Java or Python development using microservices architecture and Kubernetes. Strong in Data Structures and algorithms. Expertise in cloud technologies, containers, and orchestration frameworks like Kubernetes. Experience in developing services in any of the major cloud providers preferred. Full-stack developer preferred. Should have a good storage background and understanding of concepts around the same. Should be very versatile with Windows/UNIX OS, its technologies, and understanding. Good understanding of REST API design and implementation. Knowledge of databases (SQL, Oracle, or HANA), and UI/UX design Should have participated in all phases of the product development cycle from Requirement understanding and design, through Implementation and Test design. Should have attained experience and knowledge in solving complex problems. Prior experience in developing high-scale and performant systems. A major part of your responsibility will be to apply current skills and use up-to-date technologies to complete projects as part of the development cycle including: Coding, Design, Development, Debugging, Reliability & Research. You will participate in technical discussions within the immediate group and across functions, where evaluating and executing design and development plans for products are reviewed. Education Typically requires a Bachelor's degree with a minimum of 2 years relevant experience, a Master's degree with no experience, or equivalent work experience.

Role: Network Engineer Skill: SDWAN SME (Silver Peak/Velo cloud/Juniper/Vipetla & Meraki) Location: PAN INDIA Job Requirement: Expert in Solution Orchestration with proven experience in Requirement Gathering, Design & Implementations, Effort Estimation & Forecasting for larger deals with multiple technologies including Data, Voice, Wireless, SDWAN and multi OEM models. Should be capable to drive the Operations team for any priority incidents.