.NET Architect with Data and Cloud

3 weeks ago

Fair Lawn NJ, United States Cognizant Full time

Gen AI and Agentic AI Architect Job ID: 00065790971 Location: Teaneck, NJ or Plano, TX (Hybrid – 2 to 3 days per week in office) Role Summary We are seeking a visionary and pragmatic AI Architect to lead the design and implementation of Generative and Agentic AI ecosystems for Cognizant's strategic clients.
Considering applying for this job Do not delay, scroll down and make your application as soon as possible to avoid missing out.
This role blends advisory leadership, hands-on solutioning, and practice development to drive enterprise transformation in the AI-first era.
You will work closely with C-level stakeholders to define AI strategies, architect scalable platforms, and deliver verticalized AI solutions across industries.
This is a high-impact role for a business-savvy technologist passionate about shaping the future of enterprise AI.
Key Responsibilities · Design and implement modular, cloud-native AI platforms integrating LLMs, SLMs, and multi-agent orchestration.
Lead executive-level engagements to define AI roadmaps and investment strategies.
Serve as the anchor architect for major client accounts.
· Deliver tailored AI use cases across verticals such as Banking, Healthcare, Retail, Manufacturing, and more.
· Oversee end-to-end model development including data preparation, training, fine-tuning (SFT, RLHF, LoRA), deployment, and optimization.
· Establish enterprise-grade pipelines for CI/CD, monitoring, observability, and compliance.
Build and lead AI capability squads.
Mentor architects and engineers, contribute to hiring strategy, and support succession planning.
· Collaborate with hyperscalers (AWS, Azure, GCP), ISVs, and startups to co-develop offerings and influence partner roadmaps.
· Required Qualifications · 15 years in IT and enterprise architecture, with hands-on engineering background (Java/.NET preferred).
· 5 years in AI/ML, including 1 year in Generative & Agentic AI.
· Expertise in model training techniques (SFT, RLHF, LoRA/QLoRA), RAG, and evaluation pipelines.
· Architect-level certifications in at least two hyperscalers (AWS, Azure, GCP).
· Deep experience in MLOps/LLMOps, including CI/CD, monitoring, and compliance.
· Proven track record in CxO-level advisory and strategic AI engagements.
· Familiarity with AI governance frameworks (NIST RMF, EU AI Act, Responsible AI).
· Strong leadership experience in mentoring and building cross-functional AI teams.
Preferred Qualifications · Publications, patents, or open-source contributions in Agentic AI or LLMOps.
· Experience with AgentOps, model evaluation frameworks, and AI observability tools.
This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.
Medical/Dental/Vision/Life Insurance Paid holidays plus Paid Time Off 401(k) plan and contributions Long-term/Short-term Disability Paid Parental Leave Employee Stock Purchase Plan Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting.
It encourages lively discussions, creativity, productivity, and helps us build better solutions for our clients.
If you are content with ambiguity, excited by change, and excel through autonomy, we'd love to hear from you Remote working/work at home options are available for this role.

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