Architecting the Future: Agentic AI & Enterprise Transformation
Join us in shaping the next wave of enterprise innovation through Generative and Agentic AI.
We are seeking a pragmatic
futurist and business-savvy technologist
to redefine how enterprises operate in the
AI-first era
. This strategic role is available across
Cognizant's key delivery locations in India
.You will lead the
design, adoption, and scaling
of Generative and Agentic AI ecosystems for our most strategic clients.This role blends
advisory, hands-on solutioning, and practice-building leadership
to ensure AI delivers
tangible, industry-specific business outcomes
.
Core Responsibilities
- Architect & Implement Enterprise AI Ecosystems
Design and implement modular, scalable AI platforms that integrate
Large Language Models (LLMs), Small Language Models (SLMs), and multi-agent orchestration
. Ensure architectures are
cloud-native, secure, and industry-compliant
.
Serve as the
anchor architect
for major client accounts. Lead
C-level discussions
to define
AI roadmaps
that link technology to measurable business outcomes. Influence long-term investment strategies.
- Industry-Specific AI Solutions
Envision, Design and Deliver verticalized AI use cases
across one or more industries, including Banking & Financial Services, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Sciences, Logistics, Manufacturing, Media, Retail, Telecom, and Travel & Hospitality.
- Develop, Train & Optimize Models
Lead
end-to-end model lifecycle
: data preparation,
training, fine-tuning
, deployment, monitoring, and continuous improvement. Balance
LLM vs. SLM adoption
for cost, latency, and performance optimization.
- MLOps & LLMOps Leadership
Establish enterprise standards for
MLOps/LLMOps pipelines
(CI/CD, monitoring, observability, drift detection, compliance). Build
agent lifecycle governance frameworks
for scalable, auditable AI systems.
- People Leadership & Practice Building
Mentor and grow a
community of architects and engineers
. Build
capability squads
in GenAI/Agentic AI. Shape the company's
AI practice
, including
skills development, hiring strategy, and succession planning
.
- Ecosystem & Partner Engagement
Build and leverage
strategic partnerships
with hyperscalers (AWS, Azure, GCP), ISVs, and AI startups. Co-develop joint offerings, influence partner roadmaps, and
co-sell AI solutions
into strategic accounts.
- Innovation & Thought Leadership
Publish
white papers, frameworks, and patents
. Lead
executive roundtables
and contribute to the
Tech Radar
, ensuring the firm shapes the AI conversation in the market.
Required Skills & Experience
- 15+ years in IT & architecture, with clear progression from hands-on engineering (Java/.NET preferred) into enterprise architecture leadership.
- 5+ years in AI/ML, with 1+ year in Generative & Agentic AI (LLMs, SLMs, multi-agent orchestration).
- Model Training Expertise: Fine-tuning (SFT, RLHF, LoRA/QLoRA), RAG, evaluation pipelines.
- Hyperscaler Certifications: Architect-level expertise in at least two (AWS, Azure, GCP).
- MLOps/LLMOps Mastery: CI/CD pipelines, monitoring, observability, compliance, AI cost governance.
- CxO Advisory: Proven experience leading executive AI strategy discussions with Fortune 500 clients.
- Governance Expertise: Familiar with AI RMF (NIST), EU AI Act, Responsible AI practices.
- People Leadership: Experience mentoring teams and building cross-functional AI capability practices.
- Ecosystem Influence: Track record shaping AI initiatives through partner alliances (hyperscalers, startups, ISVs).
Good to have.
- Publications, patents, or open-source contributions in Agentic AI, LLMOps, or model compression/distillation.
- Recognized thought leadership (conferences, panels, media interviews).
- Industry domain depth in at least one vertical: Banking & Payments, Consumer Goods, Energy & Utilities, Healthcare, Insurance, Life Science, Logistics, Manufacturing, Media, Retail, Telecom, Travel & Hospitality
- Experience with AgentOps, model evaluation frameworks, and AI observability tooling.
Functional Competencies
- Business Acumen: Identify and execute high-value AI transformations across industries.
- Consultative Mindset: Convert PoCs/PoVs into long-term transformation programs.
- Practice Builder: Mentor, hire, and scale AI architecture talent pools.
- Ecosystem Shaper: Drive co-innovation with hyperscalers, startups, and ISVs.
- Pragmatic Execution: Balance build-vs-buy, deliver under pressure, and navigate enterprise politics.
- Translation & Storytelling: Distill complex AI concepts into clear executive-ready narratives.
