Lead Analyst-GenAI Lead
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Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Description:
Company Profile:
At CGI were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 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 were a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72000 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 .
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: 6 Years
Category: Software Development/Engineering
Job Location: Bangalore and Chennai only
Mode of Work: Hybrid (3 Days WFO)
Position ID: J0326-0687
#LI-AS18
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 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:
Bachelors 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 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 lets turn meaningful insights into action.
Life at CGI is rooted in ownership teamwork respect and belonging. Here youll 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. Thats why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our companys strategy and direction.
Your work creates value. Youll 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.
Youll shape your career by joining a company built to grow and last. Youll 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 teamone of the largest IT and business consulting services firms in the world.
Required Experience:
IC
Key Skills
- Administrative Skills
- Facilities Management
- Biotechnology
- Creative Production
- Design And Estimation
- Architecture
About Company
The COMPANY is one of the few end-to-end consulting firms with the scale, reach, capabilities and commitment to meet clients’ enterprise digital transformation needs. Our 77,500 consultants and professionals work side-by-side with clients in 10 industries across more than 400 location ... View more
