{"id":3096704,"url":"https://alion.io/job/cognizant-agentic-ai-aws-solution-architect-onsite","title":"Agentic AI – AWS Solution Architect (Onsite)","company":{"id":85,"name":"Cognizant","domain":"cognizant.com","url":"https://alion.io/company/cognizant","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Cognizant Careers","truth_index":{"grade":"A","score":88,"open_postings":128,"ghost_share":0.008,"stale_share":0.672,"repost_share":0.008,"time_to_fill_p50_days":20,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Solutions","role_family":"Solutions","seniority":"staff","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":189000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":377},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS CDK","optional":false},{"name":"Bitbucket","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"DynamoDB","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"IAM","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"RAG","optional":false},{"name":"Terraform","optional":false},{"name":"Threat Modeling","optional":false}],"status":"live","first_seen_at":"2026-10-22T10:02:39Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-25T06:30:15Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Job Summary\nWe are looking for strong AI Technical Architect to drive our innovation strategy using Amazon Web Services. This role focuses on building sophisticated, autonomous AI agents using AWS Bedrock. You will be the primary technical authority on Agentic AI, responsible for designing systems where Foundation Models (FMs) interact intelligently with enterprise data and APIs to perform complex tasks. You will lead high-stakes conversations with senior leadership to define the \"Art of the Possible\" regarding GenAI.\nArchitecture & Platform Leadership\nDefine target architecture, security boundaries, integration patterns, and deployment standards for enterprise Agentic AI and Generative AI solutions.\nLead architecture reviews covering security, scalability, resiliency, observability, performance, and cost optimization.\nEstablish reusable platform patterns, golden-path templates, reference architectures, and production-readiness standards.\nCollaborate with AI engineering, security, cloud, networking, data, and application teams to drive secure and governed adoption of AI capabilities.\nProvide architecture governance, production-readiness oversight, and leadership for security and resiliency reviews.\nAgentic AI & AWS AI/ML\nStrong experience architecting and implementing Agentic AI and Generative AI solutions on AWS.\nHands-on experience with AWS AgentCore, Amazon Bedrock, Amazon SageMaker, and related AWS AI/ML services.\nExperience designing AI agents, multi-agent workflows, LLM-based applications, RAG solutions, tool integration, and model/agent orchestration.\nDesign secure integration patterns between AI agents, enterprise applications, APIs, data platforms, knowledge sources, and external tools.\nExperience implementing AI guardrails, security controls, model governance, observability, monitoring, and responsible AI practices.\nExperience taking AI/ML and Generative AI solutions from prototype/PoC through production deployment.\nDesign Agentic AI solutions for enterprise-grade scalability, resiliency, security, performance, and operational supportability.\nCloud Engineering & DevSecOps\nDesign and manage secure multi-account AWS environments using AWS Organizations, Control Tower, SCPs, IAM Identity Center, and shared services.\nDevelop and manage CI/CD pipelines using GitLab, GitHub, or Bitbucket CI/CD and AWS-native deployment services.\nBuild, package, and deploy AgentCore and AI workloads as containerized applications using Docker and Amazon ECR.\nImplement Infrastructure as Code (IaC) using AWS CDK and/or Terraform, including automated deployment pipelines.\nConfigure and manage AWS Systems Manager (SSM) for operational automation.\nDesign and optimize data persistence using Amazon DynamoDB.\nImplement secure authentication and authorization using OAuth/OBO patterns.\nApply security and governance policies using the AWS Cedar authorization framework.\nSupport threat modeling, security reviews, compliance requirements, and production-readiness assessments.\nEnsure model, agent, and tool interactions follow approved governance and security controls, including deny-by-default Cedar policies, guardrails, private connectivity, identity controls, and secure access 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