14 Agent Frameworks Jobs

You are a passionate and experienced professional in Generative AI (GenAI) sought to join the AI & Data Science team. Your expertise lies in working with LLMs, RAG pipelines, LangChain, and cloud AI services. Your primary responsibility will be designing, developing, and deploying GenAI solutions for real-world enterprise use cases. You will architect and implement LLM-based agent frameworks to enable task automation and intelligent decision-making. Additionally, you will develop and optimize RAG systems using effective chunking strategies for context-aware responses. LangChain will be utilized to orchestrate modular GenAI workflows integrated with vector databases such as FAISS, Pinecone, and Chroma. Furthermore, you will build and maintain knowledge graphs and incorporate Vision APIs to enhance multimodal intelligence. Advanced prompt engineering and token management techniques will be applied to control costs and enhance LLM accuracy. Ensuring reliability and robustness through hallucination control methodologies and responsible AI practices will also be a key focus. Your role will involve designing and deploying scalable GenAI applications on cloud platforms like Azure, AWS, or GCP. Collaboration with cross-functional teams including data scientists, cloud engineers, and domain experts to integrate GenAI into products will be essential. Leveraging tools like Docker for containerization and Git for code versioning, you will use SQL and Python to process and manipulate data effectively. Your must-have skills include expertise in Agent Frameworks (e.g., LangChain Agents), Retrieval-Augmented Generation (RAG), Chunking Strategies for document processing, deep understanding of LLMs (e.g., OpenAI, Anthropic, Meta, Cohere), experience with AI services on Azure, AWS, or GCP, LangChain framework, Vector Databases (e.g., FAISS, Pinecone, Weaviate), Token Management strategies, Knowledge Graphs (e.g., Neo4j, RDF-based models), Vision APIs (e.g., Google Vision, AWS Rekognition, Azure Computer Vision), Prompt Engineering, and proficiency in Python. Good-to-have skills include knowledge in AI/ML Algorithms and optimization, Deep Learning frameworks (e.g., PyTorch, TensorFlow), Computer Vision models and techniques, Hallucination Control Techniques, and Responsible AI frameworks and compliance methodologies. Your technical proficiencies should include programming in Python, working with cloud platforms like Azure, AWS, or GCP, utilizing Containers like Docker, managing Databases with SQL, and using Version Control systems like Git or similar. Qualifications required for this role are a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Relevant certifications in AI/ML or Cloud Platforms will be considered a plus, along with strong analytical thinking, problem-solving, and communication skills.,

## Essential Duties - Design and execute machine learning experiments to evaluate emerging AI technologies and frameworks. - Prototype and assess end-to-end AI solutions to inform product and platform strategy. - Formulate hypotheses and conduct structured evaluations to compare technical approaches. - Apply modern ML engineering practices to build and test scalable, modular proof-of-concept systems. - Contribute to the definition of best practices for experimentation, evaluation, and technical decision-making. - Synthesize and communicate experimental results to guide investment and adoption decisions. - Translate new research ideas and tools into functional, decision-relevant demonstrations. - Operate independently while contributing to a highly collaborative team environment. - Communicate technical findings clearly and concisely to both technical and non-technical audiences. ## Minimum Qualifications - Bachelors degree in computer science, data science, information technology, statistics, economics, or a related STEM field. - 3+ years of experience building machine learning-powered applications or tooling. - Strong proficiency in Python and familiarity with modern ML/AI libraries (e.g., PyTorch, Hugging Face, OpenAI SDKs). - Experience working with LLM orchestration or agent frameworks. - Understanding of model tuning, prompt engineering, or retrieval-augmented generation (RAG) patterns. - Experience developing and deploying applications in cloud environments (e.g., AWS, GCP, or Azure), including use of Docker and/or Kubernetes. - Demonstrated ability to independently prototype, test, and iterate on technical ideas. - Familiarity with ML evaluation techniques and structured experimentation workflows. - Proficiency with version control systems, CI/CD practices, and ML observability tools. Show more Show less

Our AI Research & Consulting Lab in Bangalore is seeking a PhD-qualified Consultant to take on the responsibility of leading enterprise advisory on agentic AI-driven workflow transformation. This position is tailored for a visionary individual whose doctoral research delved into exploring how Generative AI agents, equipped with capabilities such as perception, planning, memory, and autonomy, can revolutionize the work structure. As a Consultant, you will be tasked with guiding clients on integrating agentic AI models into their business workflows, with a focus on: - Identifying roles that can be enhanced or substituted by intelligent agents. - Determining functions where agentic systems can independently make decisions across various domains like operations, service, or support. - Developing pathways for redeployment and upskilling initiatives for employees affected by AI implementation, while aligning with sustainable workforce strategies. Key Responsibilities: Client Engagement & Analysis: - Evaluate current workflows, organizational charts, and decision-making processes to pinpoint areas where agentic AI can enhance, replace, or optimize roles. - Provide diagnostic frameworks to align tasks with agent capabilities, such as perception (NLP/vision), planning (ReAct, AutoGPT), tool use (LangChain agents), and memory. - Demonstrate technical expertise in architecting and implementing Agentic AI workflows, encompassing Business Architecture and Agentic AI Technical Architecture. Transformation Design: - Devise strategies that incorporate autonomous AI agents into various business functions like customer support, HR, finance ops, and sales intelligence. - Suggest organizational redesigns that mirror the future workforce comprising a blend of agents and humans. Human Capital Strategy: - Offer guidance to HR and L&D leaders on restructuring redundant roles through skill gap analysis and AI-driven upskilling paths. - Define AI-readiness profiles and role evolution matrices for different enterprise job families. Thought Leadership & Enablement: - Publish insights and contribute to the firm's perspective on agentic systems within enterprise transformation. Required Qualifications: - Hold a PhD in Artificial Intelligence / Organizational AI / Multi-Agent Systems, with a focus on Agentic AI systems, generative AI applications, and workforce redesign. - Graduated from a prestigious institution like IISc Bangalore, IITs, or ISB. - Possess a strong foundation in LLMs, autonomous agents, agent frameworks, and enterprise AI applications, along with exceptional analytical, stakeholder management, and executive communication skills. Preferred Skills: - Previous consulting experience in enterprise AI or transformation, whether through internships or full-time roles. - Hands-on experience in designing or deploying AI agents in practical scenarios. - Familiarity with enterprise platforms like Salesforce, Snowflake, and their potential for AI integration.,

As an Individual Contributor at P50 level at Adobe Express, you will have the opportunity to develop cutting-edge ML models, platforms, and services, covering the entire ML lifecycle. Joining the AI Foundation Team, you will work towards developing a groundbreaking AI stack using internal and external technologies to enhance feature speed and quality, ultimately improving user experience at Adobe Express. Your responsibilities will include researching, designing, and implementing advanced ML models and pipelines for training and inference at scale. This will involve utilizing techniques in computer vision, NLP, deep learning, and generative AI. Additionally, you will integrate Large Language Models (LLMs) and agent-based frameworks to support multimodal creative workflows, enabling context-aware content generation and dynamic user experiences. Collaborating with cross-functional teams, you will translate product requirements into ML solutions, iterating from proof-of-concept to fully productionized services. Your role will also involve developing robust platforms for continuous model training, experimentation, A/B testing, and monitoring, ensuring high model quality and relevance. Leveraging distributed computing technologies and cloud infrastructures will be essential for handling large-scale data processing, feature engineering, and real-time inference, optimizing for performance and cost-efficiency. Furthermore, you will implement reliable APIs and microservices that serve ML models to end users, ensuring alignment with standard methodologies in security, compliance, scalability, and maintainability. It will be crucial to stay updated on emerging ML research, tools, and frameworks, evaluating and integrating new technologies such as sophisticated LLMs, reinforcement learning-based agents, and innovative inference optimization techniques. In the near future, the team plans to expand model coverage to include more creative tasks, improve model architectures for better latency and accuracy, and integrate federated learning or domain adaptation strategies to reach diverse audiences. To be successful in this role, you should hold a PhD, Masters, or Bachelors in Computer Science or a related technical field, with 14+ years of industry experience. Proficiency in Python and Java for ML model development, hands-on experience with TensorFlow and PyTorch, as well as expertise in computer vision and NLP techniques are required. Experience in developing and deploying RESTful web services and microservices architectures, along with proficiency in UNIX environments, Git, and Jenkins, will be beneficial. At Adobe, we celebrate creativity, curiosity, and continuous learning as essential components of your career growth journey. We are excited that you are considering a new opportunity with us, and we look forward to your potential contributions to our innovative team. Join us at Adobe and immerse yourself in an exceptional work environment where feedback flows freely and colleagues are dedicated to helping each other grow. If you are seeking to make a meaningful impact, Adobe is the place for you!,

As an Agentic AI Developer, you will be responsible for designing, building, and deploying intelligent agents capable of autonomous decision-making, tool usage, and multi-step task execution. Your expertise in cutting-edge AI technologies and experience with large language models and agent frameworks will be crucial for the successful execution of this role. Your key responsibilities will include designing and implementing AI agents using frameworks such as LangChain, AutoGen, or OpenAI Agents SDK. You will also be required to integrate agents with external tools, APIs, and databases, develop workflows for autonomous task execution, and optimize agent performance through prompt engineering and memory management. Collaboration with product and engineering teams to align agent capabilities with business goals and monitoring and maintaining deployed agents in production environments will also be part of your role. To excel in this position, you must possess a strong proficiency in Python and have experience working with LLMs such as GPT-4, Claude, and Gemini. Familiarity with agent frameworks and orchestration tools, experience with API integration, vector databases, and retrieval-augmented generation (RAG) are essential requirements. An understanding of autonomous systems, decision trees, and reinforcement learning would be a plus. Additionally, excellent problem-solving and communication skills are necessary for this role. While not mandatory, experience with cloud platforms (AWS, Azure, GCP), a background in machine learning or NLP research, and contributions to open-source AI projects would be considered advantageous in this position.,

We are searching for a highly skilled Python Developer to become a valuable member of our dynamic team. The perfect candidate will possess significant experience in Python development, a solid grasp of software engineering principles, and practical expertise in creating, designing, and implementing scalable applications. Your primary responsibilities will include defining the variables and their inter-relationships, as well as extracting data from our data repositories using various infrastructure resources such as Cloud computing solutions and relational database environments. To qualify for this position, you should have at least 7 years of experience and hold a Bachelor's degree in Computer Science/IT (or equivalent) with a strong programming background. We require expert-level proficiency in Python programming with exceptional debugging skills, advanced familiarity with Flask for API development and deployment, and a high level of proficiency in SQL, encompassing complex query optimization and database design. Moreover, you must demonstrate a deep understanding of software development best practices and documentation. Hands-on experience with LLM provider APIs such as GPT, Claude, Cohere, and familiarity with at least one Agent framework like langchain, agentstudio are essential. Experience working with Azure and containerized applications is also preferred. Ideally, you should have expertise in data science libraries like NumPy, Pandas, and Scikit-learn, as well as experience with multiple programming languages like Java, C# .NET, which would be considered an advantage. About Us: With unmatched technology and category-defining innovation, Icertis is at the forefront of contract lifecycle management (CLM). The AI-powered, analyst-validated Icertis Contract Intelligence (ICI) platform transforms contracts from static documents into a strategic advantage by structuring and connecting critical contract information that defines organizational operations. Today, the world's most renowned brands and disruptive innovators rely on Icertis to fully actualize the intent of their combined 10 million contracts worth more than $1 trillion, spanning 40+ languages and 93 countries. About The Team: At Icertis, we are the only contract intelligence platform that companies trust to keep them ahead in the present and future. Our steadfast dedication to contract intelligence is rooted in our FORTE values: Fairness, Openness, Respect, Teamwork, and Execution. These values guide all our interactions with employees, customers, partners, and stakeholders because in our endeavor to become the world's contract intelligence platform, we believe that how we reach our goals is as crucial as reaching the destination.,

Careers Head of AI (Associate) Location:Bengaluru, India Salary:Competitive Contract:Permanent Hours:Full-time About The Role The Head of AI Strategy and Integration will define and lead QCICs global AI transformation agenda. This senior, cross-functional role is responsible for setting our strategic direction on GenAI, Intelligent automation and data-powered operations. You will guide the implementation of AI solutions across the business, delivering meaningful process improvements, with an keen eye on AI governance. What You Will Do Lead the design development and deployment of AI powered business workflows using the latest LLMs, agents and intelligent automation tools Guide AI governance, ethical use, and standardisation across all AI-enabled solutions Support business units by training staff and promoting the effective use of AI tools in daily operations. Stay current on the latest AI developments (releases, tooling, methodologies) and recommend relevant applications that could in improve all areas of the business. Supervise, mentor, and support a small but growing AI engineering team, fostering a culture of collaboration, innovation and driving improvements across the business. Engage in hands-on development as required, building prototypes and working solutions for internal stakeholders Work alongside our Power Platform team to enhance advance model-driven app solutions and Business Reporting using AI capabilities Contribute to long-term planning, vendor evaluations, and strategy for scalable and secure AI adoption Match the business needs with Industry standards on governance like ISO 27001 to allow the business to remain compliant. Collaborate with global colleagues across time zones, some flexibility will be required What We Are Looking For Deep understanding of generative AI, LLMs and agent frameworks. Track record in designing, building and deploying AI-enabled workflows and solutions. Hands on experience developing workflows and using Microsofts Power Platform. Experience of implementing AI solutions with the ISO 27001 is desirable (not audit level). Experience designing and implementing AI solutions with CRM Systems is desirable. Demonstrated ability to lead, inspire and mentor technical teams. Strong written and verbal communication skills, able to present AI capabilities to both technical and non-technical audiences. Comfortable working in a fast-paced, evolving technical environment Practical experience with up to date tools and platforms e.g. Microsoft Copilot, Open AI etc Experience Very strong organisational skills 10+ years in a technical role, including 5+ years building AI/ML powered workflows and automation solutions Leadership or team lead experience, particularly within AI Innovation Hands-on experience with Azure AI, Open AI Apis, Copilot MLOps and Cloud-native data engineering Experience working across departments and coaching non-technical stakeholders Experience with Azure OpenAI studio or Similar enterprise AI environments Exposure to model-driven apps and Dataverse integration Working knowledge Microsoft Power platform suites Experience contributing to AI/ML strategy at an organisational level Awareness of AI safety, compliance and ethical frameworks PowerShell scripting, SQL Query creations. Power platform workflow creation User rollout of cloud based IT solutions Knowledge And Skills Keen attention to detail A confident and charismatic person, able to engage with any level of user within the business. A good level of numeracy The ability to lead AI automation projects and work within project scopes Ability to juggle different tasks effectively Ability to lead a team and provide mentorship The ability to understand how users learn and adapt to technology Flexibility with working hours due to the nature of the role Strong written and verbal communication skills are a must NB: The successful candidate will be required to pass our security screening procedures. Show more Show less

At Zocket, you are contributing towards building the future of how businesses utilize AI to automate and scale their marketing workflows. The mission is focused on simplifying decision-making, reducing manual effort, and enabling marketing outcomes with minimal human intervention, all powered by next-gen Agentic AI systems. As an AI Product Manager, your role involves working at the convergence of advertising platforms, enterprise user workflows, and autonomous AI capabilities. You will be responsible for leading the development of AI-driven tools that assist and increasingly act on behalf of marketers to plan, launch, and optimize campaigns across channels like Google and Meta. Your key responsibilities include defining and driving the roadmap for AI-powered features across the Zocket platform, with a strong emphasis on ad campaign workflows, targeting, optimization, and reporting. Collaboration with engineering, design, marketing, and AI/ML teams is essential to build product experiences that support intelligent decision-making and autonomous execution. Staying abreast of developments in the Meta and Google Ads ecosystems to identify opportunities for product enhancement is crucial. Moreover, you will be tasked with identifying areas where agentic AI can enhance marketer productivity and campaign efficiency, utilizing qualitative insights and quantitative data to guide prioritization, iteration, and measure product success. Alignment of product direction with business and market strategy in collaboration with leadership and GTM teams is also part of your responsibilities. The ideal candidate for this role possesses 4-8 years of product management experience in B2B SaaS, MarTech, AdTech, or AI-led platforms. Exposure to ad platforms such as Google Ads, Meta Ads, or similar, experience working on enterprise-grade marketing tools or platforms, strong analytical and product intuition with a user-first mindset, familiarity with productizing ML models, and excellent written and verbal communication skills are essential requirements. Additionally, hands-on experience or deep understanding of Agentic AI systems, exposure to task orchestration tools, agent frameworks, or real-time decision engines, and experience designing decision-support or automation-heavy products in complex domains are considered advantageous. Joining Zocket offers you the opportunity to be part of a team that is redefining how businesses leverage AI to run marketing with intelligence and speed. You will have the autonomy to lead high-impact, AI-first initiatives, work directly with founders and senior leadership, and contribute to shaping a platform that caters to enterprise users at scale across various geographies and industries. If you are enthusiastic about moving fast, solving complex problems, and contributing to the next era of intelligent marketing, Zocket is the place for you.,

Tata Electronics Pvt. Ltd. is a key global player in the electronics manufacturing industry, specializing in Electronics Manufacturing Services, Semiconductor Assembly & Test, Semiconductor Foundry, and Design Services. Established in 2020 by the Tata Group, the company's primary objective is to provide integrated solutions to global customers across the electronics and semiconductor value chain. We are looking for an AI Core Developer to join our R&D team in Bangalore. This role is centered around fundamental AI research, algorithm development, and model pre-training, focusing on innovation rather than application engineering. As an AI Core Developer, you will be involved in cutting-edge AI research, creating novel algorithms, and constructing foundation models from scratch. This position is ideal for individuals with a strong background in pre-training methodologies and algorithm development who aspire to contribute to core AI advancements. Your responsibilities will include developing and implementing innovative machine learning algorithms for various AI systems, designing pre-training pipelines for large models, prototyping new AI architectures, collaborating with research scientists and engineers, and contributing to technical publications. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, or a related field, with 2-4 years of hands-on experience in AI/ML development. Proficiency in Python, C/C++, knowledge of deep learning frameworks such as PyTorch and TensorFlow, and experience with model pre-training are essential requirements. Strong mathematical skills, familiarity with transformer architectures and attention mechanisms, and understanding of distributed computing are also key competencies. Preferred qualifications include advanced experience in multimodal AI systems, research contributions to top-tier AI conferences, and expertise in specific AI domains like healthcare or finance. The position is based in Bangalore, India, with a hybrid work arrangement and occasional travel for conferences and collaborations.,

You are an experienced professional with over 10 years of total experience, seeking a new opportunity to showcase your expertise in Python, LLM integration, and GenAI development workflows. Your strong knowledge in prompt engineering, vector databases, retrieval-augmented generation (RAG), and toolchains sets you apart. You have hands-on experience with Agentic AI and Open AI, as well as agent frameworks like LangChain Agents, Semantic Kernel, Haystack, or custom-built agents. Your proven track record includes leading LLM/GenAI projects from Proof-of-Concept to Production, showcasing your deep understanding of modern data workflows including ingestion, transformation, cataloguing, validation, and analytics. Collaboration is key for you, as you have the ability to work across engineering, product, and governance teams. Experience with enterprise data products, MLOps, or DataOps platforms, as well as familiarity with governance workflows and metadata-driven automation, are part of your skill set. Your responsibilities will include understanding clients" business use cases and technical requirements to create elegant technical designs, mapping decisions with requirements, identifying the best solutions, and defining guidelines and benchmarks for NFR considerations during project implementation. You will be responsible for writing and reviewing design documents, reviewing architecture and design, ensuring best practices are followed, and developing overall solutions for functional and non-functional requirements. To excel in this role, you should have a Bachelor's or Master's degree in computer science, Information Technology, or a related field. Your excellent communication and collaboration skills will be essential as you resolve issues raised during code/review and carry out POCs to validate suggested designs and technologies. Join us at Nagarro and be part of a dynamic and non-hierarchical work culture where your expertise will be valued and your contributions will make a difference.,

* If you are 5+ years experienced and Immediate joiner , please apply: https://docs.google.com/forms/d/e/1FAIpQLScorR1zEgu9FvDHO-4gjJEOPhk_2tJE6cgftARiy9rwcVcDHg/viewform 5+ years of experience as a backend or full-stack engineer with a strong backend focus Advanced proficiency in Python Practical experience integrating LLMs (e.g., RAG pipelines, agent frameworks, LangChain, LangGraph, or similar) Background in machine learning engineering is a strong plus Solid understanding of service architecture and production deployment workflows Hands-on LLM integration in production (not academic/chatbot-only experience) Expertise in designing production-grade APIs and backend services Strong knowledge of async workflows, deployment, observability, and performance *This is a software engineering role (not data science, analytics, or annotation)* Description: A complete remote role, you can use your own laptop. 8hrs/day, Mon-Fri required Eligibility: Candidates with 5+ years of relevant professional experience are eligible to apply.Must possess strong communication skills , both written and verbal.Should have proven expertise in the specific field or role being applied for. Interview Pattern: Screening Interview - 30 min on google meet Second Interview - 60 min Final Client Interview - 30 min Govt Id should be shown in all interviews and camera is a must. Timings: 8 hrs/day, Mon-Fri Salary will be competitive above the market standards and will be calculated on hourly basis. Role & responsibilities Preferred candidate profile : Immediate Joiners

Role & responsibilities Key Responsibilities • Design and implement generative AI models (e.g., LLMs, diffusion models) for text, image, audio, or multimodal content generation. • Develop agentic AI systems capable of autonomous decision-making, planning, and tool use in complex environments. • Integrate AI agents with APIs, databases, and external tools to enable real-world task execution. • Fine-tune foundation models for domain-specific applications using techniques like RLHF, prompt engineering, and retrieval-augmented generation (RAG). • Collaborate with cross-functional teams including product, design, and engineering to bring AI-powered features to production. • Conduct research and stay up to date with the latest advancements in generative and agentic AI. • Ensure ethical, safe, and responsible AI development practices. Preferred candidate profile • Bachelors or Masters degree in Computer Science, AI, Machine Learning, or a related field. • 3+ years of experience in machine learning, with a focus on generative models or autonomous agents. Proficiency in Python and ML frameworks such as PyTorch • Experience with LLMs (e.g., GPT, Claude, LLaMA, Cortex), transformers, and diffusion models . • Familiarity with agent frameworks (e.g., LangChain, AutoGPT, ReAct, OpenAgents) . • Experience with AWS and Snowflake services • Prior Healthcare experience • Strong understanding of reinforcement learning, planning algorithms, and multi-agent systems. • Excellent problem-solving and communication skills. Preferred Immediate joiners, Serving notice max 15-20 days

Role & responsibilities Lead the full lifecycle design, development, and delivery of enterprisegrade Generative AI solutions across Azure and Google Cloud environments. Provide fullstack architectural leadership (React, Node.js, .NET) while ensuring scalable data platforms, robust DevSecOps, and exceptional client outcomes. Key responsibilities: Own solution architecture for Generative AI engagements from discovery through production, covering prompt engineering, embeddings, RAG, agent/multiagent frameworks, and model finetuning Define and govern technical designs spanning frontend (React), midtier (Node.js, .NET 7+/Core, C#), and data layers (Cosmos DB, SQL/NoSQL, Blob/BigQuery, vector stores). Establish microservice and eventdriven architectures leveraging Azure Kubernetes Service, Google GKE, Functions, Pub/Sub, and Event Grid. Drive cloudnative CI/CD pipelines (Git, AzureDevOps, GitHubActions, Cloud Build) and automated testing across multiple environments. Lead technical design reviews, code reviews, and performance/security audits; champion design patterns, caching strategies, and DevSecOps best practices. Engage with customers to translate business requirements into scalable technical solutions and articulate architecture decisions to executive stakeholders. Mentor and develop engineering teams; foster a culture of innovation, continuous learning, and psychological safety. Business Compliance Ensure solutions adhere to corporate policies, dataprivacy laws, informationsecurity standards and relevant telecom regulations. Enforce secure coding, vulnerability management, and cloud compliance baselines across all project artefacts. Personal & Team Accountabilities Exhibit ownership, integrity, and a growth mindset; model collaborative behaviours that promote diversity and inclusion. Set clear objectives and KPIs for team members, provide constructive feedback, and support career development. Continuous improvement and proactive risk management. Key competencies: Technical depth: C#, .NET 7+/Core, Web API, Python (Django/Flask) prefered, JavaScript/TypeScript, React, Node.js, AngularJS. Cloud & DevOps: Azure and Google Cloud PaaS/IaaS, Kubernetes, Functions/Serverless, Terraform/Bicep, CI/CD, monitoring (AppInsights, Stackdriver), FinOps. Data platforms: Cosmos DB, SQL Server, PostgreSQL, BigQuery, Redis, MongoDB, vector DBs AI/ML: Generative AI models, embeddings, RAG, LangChain, Agent frameworks, prompt engineering, model evaluation. Architecture patterns: Microservices, eventdriven, domaindriven design, API Gateway, design patterns, caching, resiliency, observability. Leadership: Strategic thinking, stakeholder management, talent development, agile delivery (Scrum/Kanban), budgeting. Communication: Ability to simplify complex concepts for executives and developers alike; excellent written and verbal skills. Preferred candidate profile Experience & Education: 12 to 16years of progressive technology experience with at least 5years architecting AI/ML or Generative AI solutions. Bachelors degree in Computer Science, Engineering or related discipline (Masters/PG in AI/ML preferred).

Role & responsibilities Lead the full lifecycle design, development, and delivery of enterprisegrade Generative AI solutions across Azure and Google Cloud environments. Provide fullstack architectural leadership (React, Node.js, .NET) while ensuring scalable data platforms, robust DevSecOps, and exceptional client outcomes. Key responsibilities: Own solution architecture for Generative AI engagements from discovery through production, covering prompt engineering, embeddings, RAG, agent/multiagent frameworks, and model finetuning Define and govern technical designs spanning frontend (React), midtier (Node.js, .NET 7+/Core, C#), and data layers (Cosmos DB, SQL/NoSQL, Blob/BigQuery, vector stores). Establish microservice and eventdriven architectures leveraging Azure Kubernetes Service, Google GKE, Functions, Pub/Sub, and Event Grid. Drive cloudnative CI/CD pipelines (Git, AzureDevOps, GitHubActions, Cloud Build) and automated testing across multiple environments. Lead technical design reviews, code reviews, and performance/security audits; champion design patterns, caching strategies, and DevSecOps best practices. Engage with customers to translate business requirements into scalable technical solutions and articulate architecture decisions to executive stakeholders. Mentor and develop engineering teams; foster a culture of innovation, continuous learning, and psychological safety. Business Compliance Ensure solutions adhere to corporate policies, dataprivacy laws, informationsecurity standards and relevant telecom regulations. Enforce secure coding, vulnerability management, and cloud compliance baselines across all project artefacts. Personal & Team Accountabilities Exhibit ownership, integrity, and a growth mindset; model collaborative behaviours that promote diversity and inclusion. Set clear objectives and KPIs for team members, provide constructive feedback, and support career development. Continuous improvement and proactive risk management. Key competencies: Technical depth: C#, .NET 7+/Core, Web API, Python (Django/Flask) prefered, JavaScript/TypeScript, React, Node.js, AngularJS. Cloud & DevOps: Azure and Google Cloud PaaS/IaaS, Kubernetes, Functions/Serverless, Terraform/Bicep, CI/CD, monitoring (AppInsights, Stackdriver), FinOps. Data platforms: Cosmos DB, SQL Server, PostgreSQL, BigQuery, Redis, MongoDB, vector DBs AI/ML: Generative AI models, embeddings, RAG, LangChain, Agent frameworks, prompt engineering, model evaluation. Architecture patterns: Microservices, eventdriven, domaindriven design, API Gateway, design patterns, caching, resiliency, observability. Leadership: Strategic thinking, stakeholder management, talent development, agile delivery (Scrum/Kanban), budgeting. Communication: Ability to simplify complex concepts for executives and developers alike; excellent written and verbal skills. Preferred candidate profile Experience & Education: 12 to 16years of progressive technology experience with at least 5years architecting AI/ML or Generative AI solutions. Bachelors degree in Computer Science, Engineering or related discipline (Masters/PG in AI/ML preferred).