2 days ago
Chennai, IndiaStaff+
Responsibilities
- Design and implement modular, scalable enterprise AI platforms integrating LLMs, SLMs, and multi-agent orchestration.
- Lead AI strategy, C-level advisory, account architecture, and technology roadmaps tied to business outcomes.
- Develop and deliver verticalized AI use cases across enterprise industries.
- Lead data preparation, model training, fine-tuning, deployment, monitoring, and continuous model improvement.
- Establish MLOps and LLMOps standards, including monitoring, observability, drift detection, compliance, and agent lifecycle governance.
- Mentor architects and engineers, build GenAI and Agentic AI capability squads, and shape hiring, skills development, and succession planning.
- Develop strategic partnerships with hyperscalers, ISVs, and AI startups; co-develop offerings and co-sell solutions.
- Publish white papers and frameworks, pursue patents, lead executive roundtables, and contribute to the company Tech Radar.
Requirements
- 10+ years of IT and architecture experience with progression from hands-on engineering into enterprise architecture leadership.
- 5+ years of AI/ML experience and 1+ year of Generative and Agentic AI experience involving LLMs, SLMs, and multi-agent orchestration.
- Hands-on model training expertise including SFT, RLHF, LoRA, QLoRA, RAG, and evaluation pipelines.
- Architect-level expertise or certification across at least two of AWS, Azure, and GCP.
- Mastery of MLOps and LLMOps practices covering pipelines, monitoring, observability, compliance, and AI cost governance.
- Experience leading executive AI strategy discussions with Fortune 500 clients.
- Familiarity with the NIST AI RMF, EU AI Act, and Responsible AI practices.
- Experience mentoring teams and building cross-functional AI capability practices.
- Track record of shaping AI initiatives through partnerships with hyperscalers, startups, and ISVs.
- Preferred qualifications include publications, patents, open-source contributions, recognized thought leadership, industry expertise, AgentOps experience, model evaluation framework experience, and AI observability tooling experience.
- Strong business acumen, consultative delivery, practice-building, ecosystem development, pragmatic execution, and executive storytelling skills.
Benefits
- The role is available across Cognizant’s key delivery locations in India.
Tech Stack
Categories
About Cognizant
Cognizant is a public IT services and consulting firm that designs, builds, and runs enterprise technology, including digital engineering, cloud modernization, data/AI, and managed services. It sells consulting, systems integration, and outsourcing on multi-year engagements to large enterprises in healthcare, banking, retail, communications, and manufacturing. Founded in 1994 and headquartered in Teaneck, New Jersey, Cognizant is NASDAQ-listed (CTSH) and a Fortune 500 company.