Lead AI Engineer

Job description

Position Description:

Company Profile: - At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com.

This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please.

Job Title: Lead AI Engineer
Position: Software Engineer (SE) / Senior Software Engineer (SSE)
Experience: 7 years to 10 Years
Category: zINACTIVE - Information Technology
Main location: Bangalore
Position ID: J1225-0342
Employment Type: Full Time

Job Description: - Lead AI Engineer: -
We are seeking a high-caliber, initiative-driven Senior AI professional to lead and accelerate AI initiatives across our Business Unit. This role demands a highly versatile individual who can ideate, architect, prototype, and deliver AI solutions and IPs while working hands-on with cross-functional teams. The ideal candidate is a self-starter who thrives in dynamic environments, communicates exceptionally well, and can translate business vision into scalable AI outcomes.
 

Experience Requirements

. 7 years to 15 years overall experience in technology, with 5+ years in AI/ML, GenAI, or Data Science.
. Proven experience in designing, building, and deploying AI solutions/POCs/products.
. Strong background in architecting enterprise-grade AI workflows and pipelines.
. Demonstrated leadership in cross-functional collaboration and stakeholder engagement.
. Excellent verbal and written communication skills, especially when simplifying complex AI topics.

Key Responsibilities

. Drive the AI strategy and roadmap for the Business Unit end-to-end.
. Identify impactful AI/automation opportunities and propose scalable, value-led solutions.
. Lead POC development, prototype creation, and conversion into production-ready solutions.
. Build AI/IP accelerators, reusable components, and frameworks for rapid delivery.
. Architect and implement LLM-based, GenAI, and ML-driven solutions across use cases.
. Collaborate with delivery teams, architects, QA, DevOps, and Data Engineering to execute AI projects.
. Work hands-on on model development, pipelines, orchestration layers, and workflow automation.
. Drive adoption of AI best practices, standards, and governance across the BU.
. Present solutions, demos, and business value assessments to senior stakeholders and clients.
. Ensure clear documentation, transparency, and traceability of all AI initiatives.
. Mentor and guide junior AI engineers, promoting internal capability building.
. Act as a trusted advisor on AI feasibility, risk, and design decisions.

Preferred Technical Skillset

. Strong hands-on expertise with LLMs, RAG, embeddings, prompt engineering, and multi-agent frameworks.
. Proficiency in Python, vector databases, Lang Chain/Llama Index, and model tuning/evaluation.
. Experience with Azure OpenAI / AWS Sagemaker / Google Vertex AI and cloud-native deployments.
. Solid understanding of MLOps, CI/CD pipelines, model monitoring, and versioning workflows.
. Strong grounding in API development, microservices, security practices, and data engineering basics.

Skills:

·  Solution Design

What you can expect from us:

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.