7 Llm Orchestration Jobs

The Senior Data Science Lead is a pivotal role responsible for driving the research, development, and deployment of semi-autonomous AI agents to solve complex enterprise challenges. This role involves hands-on experience with LangGraph, leading initiatives to build multi-agent AI systems that operate with greater autonomy, adaptability, and decision-making capabilities. The ideal candidate will have deep expertise in LLM orchestration, knowledge graphs, reinforcement learning (RLHF/RLAIF), and real-world AI applications. As a leader in this space, they will be responsible for designing, scaling, and optimizing agentic AI workflows, ensuring alignment with business objectives while pushing the boundaries of next-gen AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation, complex decision-making, and autonomous problem-solving. - Build memory-augmented, context-aware AI agents capable of planning, reasoning, and executing tasks across multiple domains. - Define and implement scalable architectures for LLM-powered agents that seamlessly integrate with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows using LangGraph, ensuring high performance, modularity, and scalability. - Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG) techniques for enhanced agent reasoning. - Apply reinforcement learning (RLHF/RLAIF) methodologies to fine-tune AI agents for improved decision-making. 3. Driving AI Innovation & Research: - Lead cutting-edge AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay ahead of advancements in multi-agent systems, AI planning, and goal-directed behavior, applying best practices to enterprise AI solutions. - Prototype and experiment with self-learning AI agents, enabling autonomous adaptation based on real-time feedback loops. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions, driving automation, operational efficiency, and cost savings. - Lead Agentic AI proof-of-concept (PoC) projects that demonstrate tangible business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Lead and mentor a team of AI Engineers and Data Scientists, fostering deep technical expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents.,

The Senior Data Scientist - R01551342 position is for a Data Science Lead with expertise in problem formulation, OKR validation, data wrangling, data storytelling, problem solving, Excel VBA, data curiosity, technical decision making, communication & articulation, business acumen, design thinking, and data literacy. As the Agentic AI Lead, you will play a crucial role in researching, developing, and deploying semi-autonomous AI agents to address complex enterprise challenges. You will be required to leverage LangGraph, lead projects aimed at constructing multi-agent AI systems with enhanced autonomy and decision-making capabilities. The ideal candidate should possess in-depth knowledge of LLM orchestration, knowledge graphs, reinforcement learning, and real-world AI applications. You will be tasked with designing, scaling, and optimizing agentic AI workflows to align with business objectives and drive innovation in AI automation. Key Responsibilities: 1. Architecting & Scaling Agentic AI Solutions: - Design and develop multi-agent AI systems using LangGraph for workflow automation and decision-making. - Create memory-augmented AI agents capable of planning, reasoning, and executing tasks across various domains. - Implement scalable architectures for LLM-powered agents that integrate seamlessly with enterprise applications. 2. Hands-On Development & Optimization: - Develop and optimize agent orchestration workflows with LangGraph for high performance and scalability. - Use knowledge graphs and retrieval-augmented generation techniques to enhance agent reasoning. - Apply reinforcement learning methodologies for improved decision-making. 3. Driving AI Innovation & Research: - Lead AI research in Agentic AI, LangGraph, LLM Orchestration, and Self-improving AI Agents. - Stay updated on advancements in multi-agent systems and goal-directed behavior to apply best practices in enterprise AI solutions. - Prototype self-learning AI agents for autonomous adaptation based on real-time feedback. 4. AI Strategy & Business Impact: - Translate Agentic AI capabilities into enterprise solutions for automation, efficiency, and cost savings. - Lead proof-of-concept projects to demonstrate business impact and scale successful prototypes into production. 5. Mentorship & Capability Building: - Mentor AI Engineers and Data Scientists to build expertise in LangGraph and multi-agent architectures. - Establish best practices for model evaluation, responsible AI, and real-world deployment of autonomous AI agents. This role requires a strategic thinker with strong technical skills and a passion for innovation in AI technologies. The successful candidate will drive AI initiatives, lead research efforts, and mentor a team to deliver impactful solutions in a fast-paced environment.,

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Vice President - Product and Accelerator Leader - Global System Integrator-Agentic AI! In this role, you%27ll be part of Genpact%27s transformation under GenpactNext , as we lead the shift to Agentic AI Solutions&mdashdomain-specific, autonomous systems that redefine how we deliver value to clients. You%27ll help drive the adoption of innovations like the Genpact AP Suite in finance and accounting, with more Agentic AI products set to expand across service lines. Company Overview: We are a leading global system integrator at the forefront of digital transformation solutions, partnering with industry leaders to create innovative and impactful solutions for our clients. With deep expertise in various industries and processes, we are committed to leveraging cutting-edge technologies and platforms to drive success for our clients. Position Overview: We are seeking a dynamic and experienced individual to join our team as a Product and Accelerator Leader. In this role, you will be responsible for driving the ideation, development, and launch of products and accelerators that capitalize on our industry and process expertise . These solutions will be built on top of partner platforms such as AWS and Salesforce, delivering value-added offerings that empower our clients to achieve their strategic digital transformation objectives efficiently and effectively. Key Responsibilities: Establish and Operate the Software Product Engineering COE: Collaborate with stakeholders to define and establish the COE%27s scope, including its goals, objectives , and roadmap ensuring alignment with organizational goals and client requirements. Design and implement the necessary processes, methodologies, and frameworks to ensure efficient and effective delivery of software product engineering services. Solution and lead product engineering using latest and emerging technology stacks, Cloud Native architecture, DevSecOps , and Agile Delivery. Drive the design and delivery of AI-native, cloud-scale platforms using modular architectures, LLM orchestration frameworks, and modern cloud-native stacks (e.g., microservices, serverless, containerization, vector databases). Be the face of the company to represent our Product Engineering Services leadership in front of external executive stakeholders including partners, prospective clients, existing clients, vendors etc. Work closely with business units/verticals to evangelize scalable solutions & strengthen the value proposition. Identify opportunities for business growth and expansion, working closely with the pre-sales and account teams to develop strategies and proposals. Drive Client Engagement Delivery Strategy & Approach: Collaborate with clients to understand their software product engineering needs, challenges, and goals. Develop and maintain strong relationships, acting as a trusted advisor and strategic partner. Provide expert guidance and recommendations to clients and our engineering teams, on best practices, innovations, and emerging trends in software product engineering. Advise clients in the adoption of AI-native solutions by co-defining use cases, LLM integration strategies, and success metrics that align with both business value and responsible AI practices. Work closely with various internal stakeholders including senior leadership, Account Delivery Leaders, Client Partners, and Operations Teams, to foster a client-centric culture and cohesive teaming environment . Oversee the planning, execution, and delivery of software product engineering projects, ensuring adherence to quality standards, timelines, and budgetary constraints. Drive the execution of product development plans, ensuring timely and high-quality delivery. Collaborate with cross-functional teams, including product management, design, and QA, to ensure seamless integration and alignment. Monitor and evaluate product performance, identifying areas for improvement and implementing corrective actions. Collect and analyze feedback from customers, stakeholders and team members to shape account specific delivery solutions and team organization. Build, Mentor, and Lead High-Performing Product Engineering Delivery Teams: Build and lead high-performing delivery teams, including software engineers, architects, SDET testers, and other relevant roles. Recruit, mentor, and develop top talent, fostering a culture of continuous learning and professional growth, and a mindset focused on innovation, ownership, and consistently exceeding delivery expectations. Set clear goals and objectives for the team, ensuring alignment with organizational objectives . Establish, communicate, monitor, and measure KPIs and metrics that help measure quality of overall engineering services delivered, and engineering team productivity Monitor and evaluate team performance, identifying areas for improvement and implementing corrective measures as necessary. Drive Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in software services product engineering. Drive a culture of continuous improvement, fostering innovation and operational excellence. Implement and optimize processes, tools, and methodologies to enhance productivity and efficiency. If you are a visionary leader with a passion for driving innovation and delivering exceptional software product engineering services, we invite you to apply for this exciting opportunity. Join our team and make a significant impact on our organization%27s growth and success. Qualifications we seek in you! Minimum Qualifications Bachelor%27s or Master%27s degree in Computer Science , Software Engineering, or a related field. Proven experience in software product engineering, with a focus on designing and delivering high-quality software solutions. Proven ability to lead enterprise-grade AI/ML product teams, with expertise in cloud-native architectures, modern APIs, and applied GenAI technologies like LLM orchestration, retrieval-augmented generation (RAG), and AI observability. Well versed in Continuous Integration%5CContinuous Delivery practices. Strong business acumen and a customer-centric mindset. Strong leadership skills, with the ability to inspire and motivate diverse multi-national teams. Ability to lead in a complex, matrix environment with geographically distributed resources. Ability to work with others in a constructive and collaborative manner & influence resources outside of the immediate span of control. Excellent communication and interpersonal skills, with the ability to effectively engage, influence, and collaborate with clients, stakeholders, and team members at all levels of the organization. Excellent skills in analysis, critical thinking and planning, oral and written communication, consensus building, facilitation, negotiation and the ability to readily learn new business domains. In-depth knowledge of software development methodologies, tools, and technologies. Familiarity with industry best practices, emerging trends, and innovations in software product engineering. Strong analytical and problem-solving abilities, with a keen attention to detail. Proven track record of successfully managing and delivering complex multi-stakeholder software product engineering projects on time and within budget. Demonstrated ability to work in a matrixed organization and collaborate with practice, sales, delivery and various organizational lines of business and functions to drive success for her / his team to achieve business goals Ability to adapt to a fast-paced and dynamic work environment. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job title: AI Expert Total experience: 5+ years Location: Pune and Nashik Job description: • In-depth experience with the Eliza framework and its agent coordination capabilities • In-depth experience with the Agentic AI • Practical implementation experience with vector databases (Pinecone, Weaviate, Milvus, or Chroma) • Hands-on experience with embedding models (e.g., OpenAI, Cohere, or open-source alternatives) • Deep knowledge of LangChain/LlamaIndex for agent memory and tool integration • Experience designing and implementing knowledge graphs at scale • Strong background in semantic search optimization and efficient RAG architectures • Experience with Model Control Plane (MCP) for both LLM orchestration and enterprise system integration • Advanced Python development with expertise in async patterns and API design

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose - the relentless pursuit of a world that works better for people - we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. Inviting applications for the role of Principal Consultant - AI/ML Seeking an experienced GenAI/ML Engineer to integrate LLM APIs, build AI-driven applications, optimize model performance, and deploy AI services at scale. The ideal candidate has expertise in Python-based AI development, LLM orchestration, cloud deployment, and enterprise AI integration. Major focus should be at Gemni as CVS is GCP shop. Responsibilities . AI Application Development - Build and maintain Python-based AI services using LangChain, and CrewAI. Implement RAG-based retrieval and Agentic AI workflows. . LLM Integration & Optimization - Integrate Gemni, OpenAI, Azure OpenAI APIs. Optimize API calls using temperature, reduce hallucinations using embedding-based retrieval (FAISS, Pinecone). . Model Evaluation & Performance Tuning - Assess AI models using Model Scoring, fine-tune embeddings, and enhance similarity search for retrieval-augmented applications. . API & Microservices Development - Design scalable RESTful APIs services. Secure AI endpoints using OAuth2, JWT authentication, and API rate limiting. . Cloud Deployment & Orchestration - Deploy AI-powered applications using AWS Lambda, Kubernetes, Docker, CI/CD pipelines. Implement LangChain for AI workflow automation. . Agile Development & Innovation - Work in Scrum teams, estimate tasks accurately, and contribute to incremental AI feature releases. Qualifications we seek in you! Minimum Qualifications . BE /B.Tech/M.Tech/MCA . Experience in AI/ML: PyTorch, TensorFlow, Hugging Face, Pinecone . Experience in LLMs & APIs: OpenAI, LangChain, CrewAI . Experience in Cloud & DevOps: AWS, Azure, Kubernetes, Docker, CI/CD . Experience in Security & Compliance: OAuth2, JWT, HIPAA Preferred qualifications . Experience in AI/ML, LLM integrations, and enterprise cloud solutions . Proven expertise in GenAI API orchestration, prompt engineering, and embedding retrieval . Strong knowledge of scalable AI architectures and security best practices Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. For more information, visit www.genpact.com . Follow us on Twitter, Facebook, LinkedIn, and YouTube. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

locationsBengaluru, India posted onPosted 4 Days Ago job requisition idR-462134 About this role: Wells Fargo is seeking a Software Engineer. In this role, you will: Participate in low to moderately complex initiatives and projects associated with the technology domain, including installation, upgrades, and deployment efforts Identify opportunities for service quality and availability improvements within the technology domain environment Design, code, test, debug, and document for low to moderately complex projects and programs associated with technology domain, including upgrades and deployments Review and analyze technical assignments or challenges that are related to low to medium risk deliverables and that require research, evaluation, and selection of alternative technology domains Present recommendations for resolving issues or may escalate issues as needed to meet established service level agreements Exercise some independent judgment while also developing understanding of given technology domain in reference to security and compliance requirements Provide information to technology colleagues, internal partners, and stakeholders Required Qualifications: 2+ years of software engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Work as a Generative AI engineer developing enterprise-scale AI applications Design, implement, and optimize LLM-based solutions using state-of-the-art frameworks Lead Gen AI initiatives focused on developing intelligent agents and conversational systems Design and build robust LLM interfaces and orchestration pipelines Develop evaluation frameworks to measure and improve model performance Implement prompt engineering techniques to optimize model outputs Integrate Gen AI capabilities with existing enterprise applications Build and maintain frontend interfaces for AI applications Strong proficiency in Python/Java and LLM orchestration frameworks (LangChain, LangGraph) Basic Knowledge of model context protocols, RAG architectures, and embedding techniques Experience with model evaluation frameworks and metrics for LLM performance Proficiency in frontend development with React.js for AI applications Experience with UI/UX design patterns specific to AI interfaces Experience with vector databases and efficient retrieval methods Knowledge of prompt engineering techniques and best practices Experience with containerization and microservices architecture Strong understanding of semantic search and document retrieval systems Working knowledge of both structured and unstructured data processing Experience with version control using GitHub and CI/CD pipelines Experience working with globally distributed teams in Agile scrums Job Expectations: Understanding of enterprise use cases for Generative AI Knowledge of responsible AI practices and ethical considerations Ability to optimize AI solutions for performance and cost Well versed in MLOps concepts for LLM applications Staying current with rapidly evolving Gen AI technologies and best practices Experience implementing security best practices for AI applications

We are seeking a highly skilled and motivated Senior Data Scientist with 56 years of experience to drive the development of intelligent AI systems. This role requires extensive hands-on experience with Large Language Models (LLMs) , strong background in Agentic AI , Machine Learning , and Python programming . You will work on designing autonomous agents, building scalable ML pipelines, and integrating advanced LLM-powered solutions into real-world products. Key Responsibilities: Architect and implement agentic AI systems that use LLMs for autonomous reasoning, planning, and multi-step task execution. Lead the development, fine-tuning, evaluation, and deployment of Large Language Models (LLMs) using frameworks like Hugging Face Transformers, LangChain, LLM orchestration tools, and vector databases. Develop ML models using supervised, unsupervised, and reinforcement learning techniques, and integrate them into production environments. Design and build end-to-end machine learning pipelines, including data ingestion, feature engineering, training, and deployment. Optimize model performance and latency in real-world applications and implement model monitoring and retraining strategies. Collaborate with cross-functional teams including product, engineering, and business to translate AI capabilities into product features. Mentor junior data scientists and contribute to the team's technical excellence and innovation. Required Skills & Experience: 56 years of professional and relevant experience in data science, AI, or machine learning roles. Proven hands-on experience with LLMs, including fine-tuning, prompt engineering, and RAG (Retrieval-Augmented Generation) pipelines. Deep expertise in Python and ML libraries such as scikit-learn, PyTorch, TensorFlow, and transformers. Strong understanding of agentic AI principles, autonomous agents, and task orchestration. Experience with cloud platforms (AWS, GCP, or Azure) and scalable infrastructure for deploying AI models. Exposure to API development, ML model serving, and integration with real-time systems. Excellent communication and collaboration skills in cross-functional environments. Educational Qualification: Bachelor of Technology (B.Tech) in Computer Science, Data Science, Artificial Intelligence, or a related field from a recognized institution. Preferred Qualifications: Contributions to open-source AI/ML projects or research publications related to LLMs or agent-based systems. Familiarity with LangChain, AutoGPT, CrewAI, or other agent orchestration frameworks. Experience with vector databases (e.g., FAISS, Pinecone) and knowledge of semantic search. Understanding of multi-agent collaboration, goal decomposition, and planning architectures.