Lead AnalystAssociate Consultant- LLM Reliability Engineer (Evaluation Systems) (8-14 Years)
Job Summary
Position Description:
Company Profile:
Founded in 1976 CGI is among the largest independent IT and business consulting services firms in the world. With 94000 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 .
Position: Lead Analyst/Associate Consultant- LLM Reliability Engineer (Evaluation Systems)(8-14 Years)
Experience: 8-14 years
Category: Software Development/ Engineering
Shift: General Shift
Location: Bangalore/Hyderabad/Chennai/Pune/Mumbai
Position ID: J0426-0716
Employment Type: Full Time
Education Qualification: Bachelors degree in computer science or related field or higher with minimum 8 years of relevant experience.
We are seeking an LLM Reliability Engineer to design and implement evaluation systems for LLM-driven applications such as bid generation.
This role focuses on building structured frameworks to assess and improve output quality across relevance accuracy and correctness.
You will work hands-on with LLMs evaluation pipelines and content quality systems while collaborating closely with AI product and domain teams.
Your future duties and responsibilities:
Design and implement evaluation frameworks for LLM outputs (relevance accuracy correctness completeness consistency)
Develop scoring rubrics and evaluation metrics aligned to business use cases
Build and maintain evaluation datasets including golden sets and adversarial cases
Develop automated evaluation pipelines and regression testing systems
Use Claude / LLM APIs to implement LLM-as-a-judge and scoring workflows
Analyze outputs identify failure patterns and perform root cause analysis
Collaborate with AI/ML teams domain experts and product stakeholders
Required qualifications to be successful in this role:
Must-Have Skills:
Experience in Data Science ML NLP or related
Strong statistics and evaluation methodology knowledge
Hands-on experience with LLMs (prompting basic RAG hallucination awareness)
Proficiency in Python (Pandas NumPy)
Experience building evaluation/testing frameworks
Exposure to Claude/OpenAI APIs
Ability to define quantitative and qualitative metrics
Good-to-Have Skills:
Experience with LLM evaluation tools (LangSmith TruLens DeepEval Arize)
Experience with text-heavy/content-driven systems
Human-in-the-loop evaluation understanding
Experience with production ML/AI systems
Skills:
- English
- Natural Language Processing
- NumPy
- Pandas
- Python
- Statistical Analysis
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
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