Senior Solutions Architect – AI, GenAI Specialism
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Job Description
Senior Solutions Architect designing AWS AI/GenAI solutions for Cloud Bridge, an AWS Premier Partner. Leading Bedrock and SageMaker engagements, pre-sales, architecture, and strategic customer advisory.
Responsibilities:
- Lead AI and GenAI engagements as the primary specialism within the Professional Services team
- Contribute to AWS migration, modernisation, Landing Zone and cloud governance engagements
- Own the client-facing pre-sales cycle for AI/GenAI work
- Run scoping calls and translate business requirements into technical solutions
- Design solutions using Amazon Bedrock, SageMaker and associated AWS services
- Estimate effort and author commercially sound Statements of Work
- Provide strategic advisory services to customers
- Act as fractional CTO or technical programme lead for strategic accounts
- Maintain long-term advisory relationships and identify expansion opportunities
- Set technical direction for delivery engineers and review architecture decisions
- Unblock delivery issues and ensure SOW deliverables are met
- Participate in hands-on delivery where capacity allows
Requirements:
- Demonstrable experience designing and delivering AWS solutions in a consultancy, Professional Services or partner environment
- Strong working knowledge of Amazon Bedrock, including Agents, Knowledge Bases, Guardrails and model selection
- Strong working knowledge of Amazon SageMaker, including training, inference and pipelines
- Experience with agentic AI patterns, tool use, retrieval-augmented generation, evaluation methodology and production deployment considerations
- Solid grounding in core AWS services including compute, networking, storage, security, identity and serverless
- Proven ability to author detailed, commercially sound Statements of Work
- Confidence in customer-facing environments, including discovery sessions, architecture presentations and advising C-level stakeholders
- Experience with AWS agent frameworks and tooling such as Strands SDK, Amazon Bedrock AgentCore and Amazon Quick
- Experience setting technical direction for delivery teams and quality-assuring engineering output
- Experience with Infrastructure as Code; Terraform preferred, or CloudFormation/CDK
- Experience delivering AWS migration programmes, including MGN, wave-based migrations and estate separation
- Experience with AWS Landing Zone design, multi-account governance, Control Tower or FinOps
- Background in regulated industries is desirable
- AWS certifications such as ML Specialty or Solutions Architect Professional are desirable
- Prior experience building or growing a consultancy practice or capability area is desirable
- Commercial mindset, strong communication, rapid learning, strategic thinking, autonomy, collaboration and quality focus
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