Job Summary
We 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.
Key Responsibilities
· Strategic Advisory: Lead workshops with senior business leaders to identify high-value use cases for autonomous agents and define the ROI for AI investments.
· Architecture Design: Architect scalable, serverless AI solutions using Amazon Bedrock Agents and Knowledge Bases for RAG implementation.
· Orchestration & Execution: Design action groups and execute logic using AWS Lambda functions to allow agents to interact with external systems.
· Model Selection: Evaluate and select appropriate Foundation Models (e.g., Anthropic Claude, Amazon Titan, Meta Llama) via Bedrock based on cost, latency, and reasoning capabilities.
· Operational Excellence: Oversee the deployment pipelines (CI/CD) for AI agents and monitor performance using Amazon CloudWatch and Bedrock Guardrails.
Technical Requirements
· Agentic AI Proficiency: Deep understanding of prompt engineering for agents, chain-of-thought reasoning, and managing context windows for long-running tasks.
· Amazon Bedrock: Extensive experience configuring Agents, Knowledge Bases, and Guardrails.
· Compute & Integration: Strong command of AWS Lambda (Python/Node.js) and API Gateway for agent tool execution.
· Data Strategy: Experience with Vector Engines (e.g., OpenSearch Serverless, Aurora PostgreSQL) for RAG.
· Legacy Automation Integration: Ability to bridge the gap between cloud-native AI agents and on-premise robotic process automation.
· Preferred: Hands-on experience or architectural knowledge of UiPath and Automation Anywhere.
Soft Skills & Qualifications
· Exceptional communication skills with the ability to influence C-Suite decision-making.
· Proven track record of delivering complex, high-impact technology solutions in enterprise environments.
· Certifications: AWS Certified Solutions Architect (Professional) or AWS Certified Machine Learning Specialty is highly desirable.
Salary and Other Compensation:
The salary for this position is between $140,000 - $150,000k depending on experience and other qualifications of the successful candidate. 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.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· 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. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
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