Principal AI Architect — Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

About the Position

Principal AI Architect - Agentic AI, AWS Bedrock & Broad-Spectrum AI (Remote)

Veröffentlichungsdatum: Aug. 13 2026

Ort: Dallas, TX - 2626 Cole Avenue / United States

Berufskategorie: Business Processes

Arbeitsmodell: Hybrid

Hands-on AI Architect to design and deliver enterprise-grade AI systems spanning Agentic AI, AWS Bedrock, and the full AI/ML spectrum. You will architect multi-agent orchestration pipelines, drive FM and model strategy across cloud and open-source ecosystems, embed AI across enterprise data and application layers, and serve as the senior technical voice in C-suite engagements.

Responsibilities

• Agent Core Design: Architect the foundational agent loop - perception, planning, tool selection, execution, self-reflection, and memory - using frameworks such as LangGraph, AutoGen, CrewAI, or custom Bedrock-native implementations. Design for goal decomposition, error recovery, and dynamic replanning in long-horizon autonomous tasks.
• Agentic Architecture on Bedrock: Build production multi-agent systems using Bedrock Agents - defining supervisor/sub-agent hierarchies, action groups, session memory, and inline agents for complex enterprise workflows.
• RAG & Knowledge Layer: Design Knowledge Base pipelines with vector stores (OpenSearch Serverless, Aurora pgvector, Pinecone) - covering chunking strategies, embedding models, hybrid search, and retrieval optimization.
• Tool & API Integration: Engineer Lambda-backed action groups (Python/Node.js), API Gateway, and Step Functions to enable agents to invoke enterprise APIs, databases, and third-party systems.
• Broad-Spectrum AI/ML: Architect and oversee the full AI lifecycle - classical ML, NLP pipelines, computer vision, fine-tuning, and custom model training on SageMaker.
• Model & FM Strategy: Drive selection across Anthropic Claude, Amazon Titan, Meta Llama, Mistral, and open-source LLMs - evaluating latency, cost, context fit, and reasoning fidelity. Enforce Bedrock Guardrails and responsible AI controls at scale.
• MLOps & Observability: Define CI/CD pipelines (CDK/CloudFormation) for agent and model deployment; monitor via CloudWatch, Bedrock invocation logs, SageMaker Model Monitor, and X-Ray for cost, drift, and hallucination tracking.
• Hybrid & Multi-Platform AI: Integrate AWS-native AI with Azure OpenAI, Vertex AI, or Hugging Face; bridge Bedrock agents with on-premise RPA platforms (UiPath, Automation Anywhere) via event-driven patterns.
• Executive Advisory: Lead C-suite workshops to define AI strategy, shape build-vs-buy decisions, and quantify ROI across the AI portfolio

Requirements

• Agent Core & LLM Patterns: Deep hands-on expertise in agentic reasoning loops (ReAct, Reflexion, Plan-and-Execute), multi-agent orchestration frameworks (LangGraph, AutoGen, CrewAI), prompt engineering, tool-use design, and context window management for long-running autonomous workflows.
• AWS Bedrock & Agentic Stack: Proficient with Bedrock Agents, Knowledge Bases, Guardrails, Model Evaluation, and inline agent patterns; experienced in configuring supervisor/sub-agent architectures at enterprise scale.
• Broad AI/ML Stack: Hands-on with SageMaker (training, inference, pipelines) and core ML/NLP/CV frameworks - scikit-learn, HuggingFace Transformers, PyTorch/TensorFlow.
• Data & Integration Layer: Strong command of vector DBs (OpenSearch Serverless, Aurora pgvector, Pinecone), RAG pipeline design, AWS Lambda/API Gateway/Step Functions, and event-driven architectures.
• MLOps & IaC: AWS CDK/CloudFormation for repeatable deployments; MLflow or SageMaker Experiments for model tracking; CI/CD tooling for agent versioning and rollback.
• Preferred: Multi-cloud AI exposure (Azure OpenAI, Vertex AI) · RPA platforms (UiPath, Automation Anywhere) · AWS Certified Solutions Architect – Professional or ML Specialty.

We Offer

• Financial Security: We regularly review market data to ensure compensation reflects the value you bring. Our benefits extend beyond salary and may include retirement plans, financial education, and more.
• Physical and Mental Health: We prioritize your well-being with paid time off, flexible work models where possible, health benefits, counseling, our Mental Health Allyship Program, and more.
• Your Career, Your Path: With over 350,000 positions at Cognizant, you have the opportunity to explore new technologies, industries, and locations - and build the skills you need to advance your career.
• Real-World Impact: Think of the biggest brands you rely on. They likely rely on us to power their business. Here, you’ll turn bold ideas into solutions that improve lives everywhere.

About the Company

Cognizant (NASDAQ: CTSH) is a technology services and AI solutions developer. We bridge the gap between AI investments and real business value by creating end-to-end full-stack AI solutions for our clients. With our deep industry, process, and engineering expertise, we integrate the specific needs of businesses seamlessly into technology systems. This unlocks human potential, delivers tangible results, and secures the critical edge for global companies in a rapidly changing world. Learn more at cognizant.ai or @cognizant.

Additional Employment Information

The compensation information is accurate as of the publication date of this job posting. Cognizant reserves the right to modify this information at any time in accordance with applicable laws.

Applicants for this position must be legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.

Candidates may be required to participate in interviews in person or via video conference. Additionally, candidates may be required to present a valid government-issued photo ID at each interview.

Cognizant is an equal opportunity employer. Your application and candidacy will not be considered or rejected based on race, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status, or any other characteristic protected by federal, state, or local laws.

Your Path to Cognizant

Here’s what to expect during our hiring process. Please note, this may vary by position and location. Visit our FAQs for more information.

Step 1: Apply for the Right Role

Find an open position that matches your skills and career goals, and show us why you’re the right fit for the job. Can’t find the right opportunity? Then join our Talent Community.

Step 2: Connect with Your Recruiter

If one of our recruiters sees a match, they’ll schedule a brief introductory call to learn more about you and how your experience and skills align with the position.

Step 3: Showcase Your Skills

If you and our team decide to move forward, you’ll engage with our hiring team. For some positions, technical assessments and/or client interviews may be required.

Step 4: Time for Decision

Our team will then review each candidate’s potential to succeed in the role. This step may take some time as we want to find the right fit for you and for us - but you can trust that we’ll keep you updated along the way.

---

Still Looking for the Right Role?

Get the latest updates on job openings, recruiting events, and company news - customized just for you!

Stay Informed

We care about your privacy

Thank you, your preferences have been updated.

By clicking "Accept All", you agree to the storing of cookies on your device to give you the most optimal experience using our website. We may also use cookies to enhance performance, analyse site usage and to personalise your experience.

Manage settings