Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions

AI in this role

Design and implement agentic AI solutions, foundation models, and prompt engineering integrations for Amazon Connect customers.

bedrockamazon-connectamazon-bedrockaws-lambda

prompt-engineeringragai-agentssolutions-architectureagentic-aimodel-selectionmcp

The Applied AI Solutions Architecture team within AWS is seeking a hands-on, customer-obsessed Solutions Architect to accelerate customer adoption of Amazon Connect's AI capabilities. This role is part of the AI Velocity Team, a service-specific approach that assigns dedicated advisory and hands-on development resources directly to customers to achieve production-ready outcomes in weeks instead of months.

As an Applied AI Solutions Architect, you will be embedded with customers to help them prepare their Amazon Connect implementations for production by focusing on three pillars of agentic AI:
Model Selection: Guiding customers through evaluating and selecting the right foundation models (via Amazon Bedrock) for their contact center use cases, balancing latency, accuracy, cost, and compliance requirements.

Prompt Engineering: Designing, testing, and optimizing AI prompts and system instructions for Amazon Connect AI agents, including self-service agents, answer recommendation agents, and custom orchestrator agents.

Tooling: Architecting and building the tool integrations (APIs, Lambda functions, data connectors, knowledge bases) that agentic AI systems use to take actions on behalf of customers and agents. This included configuring MCP (Model Context Protocol) servers for standardized tool discovery and invocation, and enabling A2A (Agent-to-Agent) communication patterns for multi-agent orchestration across enterprise systems.

A key dimension of this role is Customer Data Readiness. Assessing, preparing, and structuring customer data assets so that AI agents can reliably access, retrieve, and act on the right information. You will help customers evaluate their data landscape, identify gaps, establish data pipelines, and ensure their knowledge bases, CRMs, and backend systems are AI-ready before agents go live.

You will work at the intersection of contact center operations and applied AI, helping customers move from proof-of-concept to pre-production for their Amazon Connect Unlimited AI deployments. This is a deeply technical, hands-on role, you will write code, build integrations, configure agents, and pair-program with customer engineering teams.

Key job responsibilities
Lead technical discovery sessions to understand customer business requirements, contact center architecture, and AI readiness, translating these into solution designs and implementation plans.

Conduct data readiness assessments across customer systems (CRMs, knowledge bases, ticketing, order management) to identify gaps, recommend remediation, and establish the data foundation for AI agent tool use and RAG-powered responses.

Design and configure agentic AI solutions within Amazon Connect, including multi-agent orchestration, prompt engineering, model selection, guardrails, and tool integration.

Deploy Model Context Protocol (MCP) servers to expose customer tools, data sources, and APIs in a standardized format for dynamic AI agent discovery and invocation.

Architect agent-to-agent communication patterns enabling multi-agent workflows across enterprise boundaries (e.g., billing, order management, IT support).

Build serverless integrations (Lambda, API Gateway, Step Functions, Python/Node.js) connecting AI agents with customer data systems and cloud-based data stores (DynamoDB, RDS, S3, OpenSearch, Kendra/Knowledge Bases for Bedrock).

Leverage agentic development environments (e.g., Kiro) to accelerate spec-driven development, MCP configuration, and AI-assisted code generation.

Guide customers through AI agent testing, evaluation, and validation against success criteria prior to production deployment.

Create reusable artifacts (reference architectures, implementation guides, prompt libraries, data readiness checklists) to scale best practices.

A day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

About the team
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating, that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges

Basic qualifications

- 5+ years of experience building integrations across WFM, CRM, and contact center solutions or experience with communications protocols and APIs such as WebRTC and SIP or similar CCaaS technology
- Experience with complex Contact Center as a Service (CCaaS) implementations

Preferred qualifications

- Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent
- Experience shaping business strategy for technical products or services for large enterprises or partners
- Knowledge of presentations and whiteboarding skills with a high degree of comfort speaking with internal and external executives, IT management, and developers

Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.

IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Senior Applied AI Solutions Architect, Amazon Connect, AWS, AWS Applied AI Solutions at Amazon rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGAI AgentsSolutions ArchitectureAgentic AIModel SelectionMcpBedrock

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Tell me about a project where solutions architecture was part of your work. What did you do?
Tell me about a project where agentic ai was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, RAG, AI Agents, Solutions Architecture, and Agentic AI. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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