Partner Consulting - AI Leader MLEU

About the Company

Cognizant Consulting is a global community of 5,000+ experts dedicated to helping clients reimagine their business. Blending deep industry and technology advisory capability, we create innovative business solutions for Fortune 500 clients.

About the Role

As a Partner Consulting, Enterprise AI and Manufacturing Technology Strategy, you will lead complex enterprise AI, Generative AI, and technology transformation programs for manufacturing and automotive clients. This role combines strategic technology advisory, solution and integration architecture, and hands-on delivery leadership. You will work collaboratively with client executives, enterprise architects, engineering teams, security and data leaders, and cross-functional delivery teams to modernize enterprise platforms, integrate AI into business and technology workflows, and deliver production-grade solutions.

Responsibilities

• Lead multi-workstream enterprise AI, Generative AI, and technology transformation programs, owning scope, planning, staffing, dependencies, risks, delivery quality, and client communications.
• Shape IT strategy, solution architecture, and integration architecture for manufacturing and automotive clients across R&D, sales and marketing, procurement, supply chain, transportation, and finance.
• Architect and guide technical decisions across cloud and data architecture, application modernization, application portfolio assessment, AI in the software development lifecycle, model selection, RAG design, orchestration patterns, and evaluation frameworks.
• Partner with enterprise architects and client technology leaders to integrate AI capabilities across ERP, manufacturing SaaS solutions, SCM, CRM, data platforms, identity, middleware, and digital platforms.
• Establish engineering and delivery standards, including delivery lifecycle phases, quality gates, testing, observability, release readiness, and reusable delivery assets such as reference architectures, accelerators, evaluation harnesses, and delivery playbooks.
• Demonstrate the Cognizant Way to Lead: Personal Leadership (building trust, collaboration, and inclusion), Organizational Leadership (driving vision, purpose, and strategic direction), and Business Leadership (exemplifying client focus, accountability, results, and financial acumen).

Requirements

• 15 to 20 years of experience in software engineering, solution architecture, enterprise technology delivery, IT strategy, or consulting-led transformation programs.
• Deep understanding of manufacturing and automotive technology ecosystems, including R&D, sales and marketing, procurement, supply chain, transportation, finance, ERP, and manufacturing SaaS solutions.
• Proven experience designing and delivering production enterprise systems, AI-enabled solutions, or LLM-powered applications in complex, regulated, or large-scale enterprise environments.
• Strong command of cloud and data architecture, application modernization, application portfolio assessment, enterprise integration, APIs, microservices, event-driven architecture, security, and observability.
• Demonstrated delivery leadership across large transformation programs, including AI, GenAI, ERP modernization, cloud migration, data transformation, or enterprise platform modernization.
• Embodiment of the Cognizant Way to Lead and Cognizant’s Values: Work as One, Dare to Innovate, Raise the Bar, Do the Right Thing, and Own It.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or a related field. Cloud certifications across AWS, Azure, or GCP are preferred.

Skills

• Experience with RAG pipelines, semantic search, embeddings, vector databases, re-rankers, context schemas, evaluation frameworks, tool-use agents, and multi-step AI workflows.
• Deep understanding of enterprise data architecture, governance, lineage, data residency, and operationalization for AI context, retrieval, and decision support.
• Experience with prompt engineering, context engineering, structured outputs, agentic systems, orchestration frameworks, DevSecOps, MLOps, or LLMOps practices.
• Prior client-facing consulting, advisory, or embedded engineering experience in a professional services environment.

Work Model

This is a remote position with a hybrid and travel-based delivery model, including travel to client sites and Cognizant offices. The working arrangements may change based on project or client needs.

Pay

The annual base salary for this position is $162,000 to $295,000, depending on experience and other qualifications. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance.

Benefits

• Medical, dental, vision, and life insurance
• 401(k) plan and contributions
• Employee stock purchase plan
• Employee assistance program
• 10 paid holidays plus PTO
• Paid parental leave and fertility assistance
• Learning and development certifications and programs