Founded in 1976, CGI is among the largest independent IT and business consulting services firms in the world. With 94,000 consultants and professionals across the globe, CGI delivers an end-to-end portfolio of capabilities, from strategic IT and business consulting to systems integration, managed IT and business process services and intellectual property solutions. CGI works with clients through a local relationship model complemented by a global delivery network that helps clients digitally transform their organizations and accelerate results. CGI Fiscal 2024 reported revenue is CA$14.68 billion and CGI shares are listed on the TSX (GIB.A) and the NYSE (GIB). Learn more at cgi.com.
Job Title: Senior AI/ML Engineer AWS
Position: Senior Software Engineer
Experience: 6+ Years
Category: Software Development/ Engineering
Shift: 8.30AM to 6 PM
Work Mode: Hybrid (3 days in office, 2 days WFH)
Primary location: India, Karnataka, Bangalore,Pune, HYD
CGI Office: TPLS Bangalore / E-city Bangalore / DLF Chennai / DLF Hyderabad / Skyview Hyderabad / SEEPZ Mumbai
Position ID: J0526-1019
Employment Type: Full Time
Edication :Bachelor's degree in computer science, Engineering, Information Systems, or a related field.
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Your future duties and responsibilities
We are seeking an experienced Senior AI/ML Engineer to join our advanced AI engineering team focused on building next-generation intelligent agent solutions and enterprise AI applications. The ideal candidate will have strong expertise in designing, developing, and deploying scalable AI/ML and agent-based systems using AWS cloud-native technologies and modern LLM frameworks.
In this role, you will lead the development of autonomous and multi-agent architectures leveraging AWS Bedrock, LangChain, Graph Databases, RAG pipelines, and orchestration frameworks to solve complex enterprise business problems. You will work closely with cross-functional teams to design secure, scalable, and production-grade AI solutions while ensuring performance optimization, governance, and responsible AI compliance.
The candidate should possess deep technical expertise in AI application development, prompt engineering, serverless architectures, API integrations, and enterprise-grade deployment practices. Experience with AWS AI ecosystem tools, vector databases, containerized deployments, and modern AI development methodologies is highly desirable.
This role requires strong analytical thinking, hands-on engineering capability, and the ability to work in a fast-paced Agile environment delivering innovative AI-powered business solutions.
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Responsibilities:
Serve as a Senior AI/ML Engineer for agent-based initiatives, including scoping, estimation, and architectural design of AI & Business Applications.
. Design, develop, and deploy intelligent agents using AWS Bedrock, LangChain, Kiro, Graph DB, Strands, and related agent frameworks.
. Build and maintain applications using AWS agent core framework, orchestration layers, and hierarchical agent workflows to support complex reasoning and automation use cases.
. Develop secure, scalable APIs using AWS Lambda and API Gateway to expose AI and agent capabilities to downstream systems.
. Implement prompt engineering best practices to optimize model performance, accuracy, and reliability across use cases.
. Design and implement RAG (Retrieval Augmented Generation) pipelines leveraging vector databases and knowledge graphs.
. Monitor, evaluate, and optimize LLM performance, cost, latency, and reliability in production environments.
. Support testing cycles by validating AI outputs, identifying gaps, and improving agent behavior through tuning and iteration.
. Ensure solutions meet enterprise standards for security, compliance, and responsible AI usage.
Strong experience with Python & Spark for building AI, data, and agent-based applications.
. Hands-on experience with AWS Bedrock and large language models (LLMs).
. Experience using LangChain, Strands, or similar agent frameworks.
. Strong understanding of agent core design, multi-agent systems, and orchestration patterns.
. Experience building serverless solutions using AWS Lambda and API Gateway.
. Solid knowledge of prompt & context engineering techniques and LLM optimization strategies.
. Experience integrating LLMs with enterprise systems via APIs.
. Build Solutions to any complex business problem using AI-Development Life Cycle methodology.
. Strong problem-solving, communication, and collaboration skills.
Required qualifications to be successful in this role
Must-Have Skills:
. 6+ years of experience in AWS business applications.
. . Experience with broader AI and agent frameworks, including hierarchical agents and autonomous agent architectures.
. . Familiarity with Model Context Protocol (MCP) and emerging agent interoperability standards.
. . Experience with Kiro or similar AI IDE tools for agent-assisted development workflows.
. . Experience with CI/CD pipelines, Infrastructure as Code (CDK, CloudFormation, or Terraform), and version control (Git).
. . Familiarity with containerization technologies such as Docker, Amazon ECS, or EKS for production AI deployments.
. . Experience with AWS Quick Tools and AWS Frontier Agents.
. . Hands-on experience with deep research agents and multi-step reasoning workflows.
. . Experience implementing RAG using Vector Databases (e.g., OpenSearch, Pinecone, FAISS) and Graph Databases.
. . Exposure to model tuning, embeddings, and evaluation techniques.
. . Knowledge of enterprise AI governance, security, and responsible AI practices.
Good-to-Have Skills:
. Experience with Datacap.
. Experience working in FileNet running on Container environment.
. Working experience in Agile methodology.
. Experience in setting up and configuring IBM Enterprise Records (IER).
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. Education Qualification: Degree in Computer Science, Engineering or Finance.
. Good working experience of SDLC and Agile methodologies
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CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodations for people with disabilities in accordance with provincial legislation. Please let us know if you require a reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.
Together, as owners, let’s turn meaningful insights into action.
Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…
You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.
Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.
You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.
Come join our team—one of the largest IT and business consulting services firms in the world.
