Lead Analyst-GenAI Lead

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: GenAI lead
Position: Lead Analyst
Experience: 5+ Years
Category: Software Development/Engineering
Job Location: Hyderabad
Mode of Work: Hybrid (3 Days WFO)
Position ID: J0326-0687

We are seeking an experienced AI / Generative AI Architect to design and implement enterprise-scale AI and Generative AI platforms. The role involves building scalable AI architectures, enabling GenAI solutions using LLMs, and establishing robust MLOps and governance frameworks. The candidate will work closely with business leaders, product teams, and engineering teams to drive AI adoption and deliver high-impact enterprise AI solutions

Behavioural Competencies :

• Proven experience of delivering process efficiencies and improvements
• Clear and fluent English (both verbal and written)
• Ability to build and maintain efficient working relationships with remote teams
• Demonstrate ability to take ownership of and accountability for relevant products and services
• Ability to plan, prioritise and complete your own work, whilst remaining a team player
• Willingness to engage with and work in other technologies

Note: This job description is a general outline of the responsibilities and qualifications typically associated with the Virtualization Specialist role. Actual duties and qualifications may vary based on the specific needs of the organization.

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.

Your future duties and responsibilities:

AI & Enterprise Architecture

Define and implement enterprise architecture for AI, Machine Learning, and Generative AI platforms.

Design scalable AI systems covering data ingestion, model development, deployment, and monitoring.

Architect solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and enterprise knowledge systems.

Establish scalable and reusable AI platform components across the organization.

Generative AI Solution Development

Design and build LLM-powered applications such as:

Enterprise chatbots

Knowledge assistants

Automation solutions

Implement prompt engineering, embeddings, vector databases, and retrieval pipelines.

Evaluate and integrate enterprise LLM models such as:

GPT-4

Llama

Claude

Build RAG pipelines to integrate enterprise knowledge repositories with GenAI solutions.

ML Engineering & MLOps

Architect end-to-end machine learning pipelines including data preparation, model training, deployment, and monitoring.

Implement MLOps frameworks and CI/CD pipelines for automated model lifecycle management.

Ensure secure, scalable, and reliable model deployment across cloud and hybrid environments.

Implement model monitoring, performance tracking, and retraining mechanisms.

Governance, Security & Compliance

Implement AI governance frameworks, model explainability, and responsible AI practices.

Ensure compliance with enterprise data security, privacy, and regulatory standards.

Conduct AI risk assessments aligned with financial services regulations.

Collaborate with risk, compliance, and legal teams to ensure responsible AI adoption.

Enterprise Integration

Integrate AI solutions with enterprise platforms, APIs, data warehouses, and operational systems.

Work with business stakeholders and product teams to identify high-value AI use cases.

Enable AI-driven solutions that improve operational efficiency and customer experience.

Leadership & Strategy

Lead and mentor AI engineers, ML engineers, and data scientists.

Define and drive the AI roadmap and enterprise AI strategy.

Promote adoption of Generative AI capabilities across business units.

Drive innovation, best practices, and technology standards for AI development.

Required qualifications to be successful in this role:

Bachelor's degree in Computer Science or related field or higher with minimum 3 years of relevant experience.

---Must Have Skills---

Strong experience in AI/ML architecture and enterprise AI platform design.

Hands-on experience with Generative AI and Large Language Models (LLMs).

Experience designing RAG architectures, embeddings, and vector search systems.

Strong experience in Machine Learning pipelines and MLOps frameworks.

Hands-on experience with Python and ML frameworks (TensorFlow, PyTorch, or similar).

Experience with cloud platforms (AWS, Azure, or GCP) for AI workloads.

Strong understanding of AI governance, model explainability, and compliance frameworks.

Experience integrating AI solutions with enterprise applications, APIs, and data platforms.

---Good to Have Skills----

Experience with vector databases (Pinecone, Weaviate, Milvus, etc.).

Knowledge of LangChain, LlamaIndex, or similar GenAI frameworks.

Experience with Kubernetes, Docker, and cloud-native architectures.

Familiarity with data engineering and big data platforms (Spark, Kafka, Snowflake, etc.).

Experience implementing enterprise AI platforms in regulated industries (banking/finance).

CGI is an equal opportunity employer. In addition, CGI is committed to providing accommodation for people with disabilities in accordance with provincial legislation. Please let us know if you require reasonable accommodation due to a disability during any aspect of the recruitment process and we will work with you to address your needs.

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.