Solution Architect, AWS Generative AI

Solvd
United States
Remote

Who this role is best for

A natural match if you have experience designing generative AI or search retrieval systems on AWS and leading technical engagements.

Best fit for

  • Candidates with a proven track record in designing and delivering AWS-native generative AI or search retrieval systems.
    — “at least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch.”
  • Individuals who can lead technical design and defend decisions to enterprise-level client stakeholders.
    — “defend those decisions to client IT, Security, and the Agent Assist provider.”
  • Candidates with hands-on experience in AWS security design, including IAM and encryption practices.
    — “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...”

Things to consider

  • This role demands a high level of client-facing communication and presentation to CIO or VP-level audiences.
    — “Able to present to CIO or VP-level audiences and to interview with the client before kickoff.”
  • Candidates must be prepared to lead and own complex technical decisions without relitigating them.
    — “You make decisions the engineers execute without relitigating them”

How to stand out

  • Highlight your experience in designing secure and scalable AWS architectures with specific examples.
    — “Define the security design: IAM roles and least privilege for every pipeline and API component...”
  • Emphasize your ability to produce architecture and API documents that gain client security team approval.
    — “A track record of writing architecture and API documents that a client’s security team approved on first or second review.”
  • Showcase leadership experience in fixed-scope engagements, especially those with clear technical ownership.
    — “Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks.”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • produce and approve target architecture for Amazon Bedrock Knowledge Bases
  • define security design and retrieval API contract
  • decide and document chunking and embedding model
  • author operations design and review runbooks
Typical background
10+ years in software or cloud engineering5+ years designing production systems on AWS

Skills & requirements

Required

AWS ArchitectureSecurity DesignAPI ContractCost ModelTechnical Risk ManagementAmazon Bedrock Knowledge BasesOpensearch ServerlessAPI GatewayLambdaIAM Policy AuthoringKMSCloudwatchPermission-aware RetrievalMicrosoft 365 Content Retrieval

Preferred

Generative AISearch Retrieval

Stack & domain

AWSAmazon BedrockOpensearch ServerlessAPI GatewayLambdaIAMKMSCloudwatchCloudDataSoftware EngineeringArtificial Intelligence

About the role

Original posting from Solvd via Ashby

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.

Source: Solvd careers (Ashby)

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