AI Agent Solutions Architect

We are seeking an experienced AI Agent Solutions Architect to design and deliver enterprise-scale AI solutions leveraging AWS AI services, Amazon Bedrock, and modern agentic frameworks. In this role, you will lead the architecture of AI-powered applications, collaborate with cross-functional teams, and drive best practices for scalable, secure, and production-ready AI solutions. This is an exciting opportunity to shape the future of enterprise AI through innovative agent-based and Generative AI technologies.

Design and architect enterprise-scale AI Agent solutions using AWS AI services, including Amazon Bedrock.

Lead the development of agentic and multi-agent workflows using Python and modern AI orchestration frameworks.

Design and implement RAG-based solutions leveraging enterprise data sources, vector databases, and knowledge repositories.

Define AI architecture best practices for scalability, security, observability, governance, and production deployment.

Partner with business and engineering teams to deliver AI-driven solutions while providing technical leadership and mentorship.

Work model: Hybrid

We strive to provide flexibility wherever possible. Based on this role's business requirements, this is a Hybrid position in Miami, FL

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

8+ years of experience in software engineering, solution architecture, AI engineering, or related disciplines with strong Python development expertise.

Proven experience building AI/GenAI solutions using AWS AI services, including Amazon Bedrock, and agent orchestration frameworks such as Strands Agents.

Deep knowledge of LLMs, RAG, prompt engineering, embeddings, vector databases, and agentic AI architectures.

Experience designing APIs, microservices, cloud-native applications, and working with relational, NoSQL, and vector database technologies.

Strong communication and leadership skills with the ability to influence architecture decisions and collaborate with cross-functional teams.

Experience designing and deploying enterprise-scale AI Agent platforms in production environments.

AWS certifications such as AWS Certified Solutions Architect or AWS Certified Machine Learning Engineer.

Experience with advanced multi-agent orchestration, AI governance, model monitoring, and responsible AI practices.

Knowledge of enterprise integrations, AI security frameworks, and large-scale cloud architectures.

Experience leading architecture reviews, mentoring teams, and driving AI transformation initiatives.

We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role .

**Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.**

**Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future**