Solution Architect, AWS Generative AI

About the role

Solvd Inc. is a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery-from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

We are looking for a Solution Architect to own the technical design and outcome of an AWS-native retrieval platform engagement - architecture, security design, API contract, cost model, and technical risk. You’ll produce a design a client’s IT and Security teams approve, defend it through kickoff and delivery, and serve as the escalation point for engineers through hypercare.

This is a principal-level role. You make decisions the engineers execute without relitigating them, and you defend those decisions to client IT, Security, and the Agent Assist provider.

What You’ll Do

• Produce the target architecture for Amazon Bedrock Knowledge Bases with OpenSearch Serverless as the vector store, S3 as the landing zone, and the retrieval API on API Gateway and Lambda - and get it approved by client IT and Security by end of week 2.
• Define the security design: IAM roles and least privilege for every pipeline and API component, encryption at rest and in transit, VPC and endpoint posture, secrets handling for external credentials, and an entitlement-aware permission model for retrieval.
• Own the retrieval API contract and Integration Blueprint the Agent Assist provider builds against - request and response schema, versioning policy, authentication, rate limits, error semantics, and citation payload.
• Decide and document the chunking, embedding model, hybrid search, and metadata filtering strategy including the cost model for OpenSearch Serverless minimum capacity, embedding on ingest, and re-embedding on model change.
• Run the end-of-Phase-1 re-baselining checkpoint from the technical side - validate inventoried content volumes against the design and flag any change control triggers.
• Cross-review the Knowledge Management Lead’s taxonomy and metadata model to ensure what stewards tag is what the index can filter on.
• Author the operations design - CloudWatch metrics and alarms for connector sync health, ingestion failures, API latency, error rate, OpenSearch capacity, and retrieval quality regressions; review every runbook before handover.
• Lead the transition readiness review in weeks 9-10 and sign the readiness checklist jointly with the client.

Required Skills & Experience

• 10+ years in software or cloud engineering, including 5+ years designing production systems on AWS and at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch.
• Hands-on with Bedrock Knowledge Bases data sources and sync, OpenSearch Serverless vector collections, API Gateway, Lambda, IAM policy authoring, KMS, and CloudWatch.
• Experience designing permission-aware retrieval over Microsoft 365 content - SharePoint and Teams via Microsoft Graph with Entra app registration - or an equivalent enterprise content platform.
• A track record of writing architecture and API documents that a client’s security team approved on first or second review.
• Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8-16 weeks.
• Able to present to CIO or VP-level audiences and to interview with the client before kickoff.

Preferred Qualifications

• AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional.
• Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs.
• Experience with contact center Agent Assist integrations from any major provider.
• Familiarity with SOC 2 or ISO 27001 control language.

When you join Solvd, you'll

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

• If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.
• Solvd is an equal opportunity employer.