Solution Architect, AWS Generative AI

Job not on LinkedIn

🔥 5 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

💻 Solutions Engineer

Where this job comes from

Posted on Solvd, Inc.'s careers page ↗Solvd, Inc.'s careers page, not through a job board

First seen by Remote Rocketship 5 minutes ago

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Logo of Solvd, Inc.

Solvd, Inc.

501 - 1000 employees

Founded 2010

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Solvd, Inc. is a global software engineering and consulting company that delivers comprehensive end-to-end solutions. Founded in 2011, Solvd offers core engineering services, including software development for web and mobile platforms, digital experience and design, data and AI/ML solutions, and cloud platform modernization. The company is an AWS partner and is known for optimizing resources, solving complex problems, and enhancing user satisfaction. Solvd emphasizes innovation and quality assurance, employing over 800 international professionals across 8 offices worldwide. The company prides itself on transforming businesses by providing feature-rich digital products, manual testing, automation, and employing cutting-edge technology solutions. Their proprietary tools like Zebrunner and Carina aid in improving development and QA processes. Solvd operates with a focus on collaboration, top talent cultivation, and customized technical solutions tailored to individual client needs, serving clients across 15 countries.

📋 Description

• Own the technical design and outcome of an AWS-native retrieval platform engagement • Produce and secure approval for the target architecture using Amazon Bedrock Knowledge Bases, OpenSearch Serverless, S3, API Gateway, and Lambda • Define security architecture covering IAM, least privilege, encryption, VPC endpoints, secrets handling, and entitlement-aware retrieval permissions • Own the retrieval API contract and Integration Blueprint for the Agent Assist provider • Decide and document chunking, embedding, hybrid search, metadata filtering, and cost-model strategies • Run the end-of-Phase-1 technical re-baselining checkpoint and identify change-control triggers • Cross-review taxonomy and metadata models for index filtering compatibility • Author the operations design, including CloudWatch monitoring and runbooks • Lead the transition readiness review in weeks 9–10 and jointly sign the readiness checklist with the client • Defend architecture decisions to client IT, Security, and the Agent Assist provider • Serve as the escalation point for engineers through hypercare

🎯 Requirements

• 10+ years in software or cloud engineering • 5+ years designing production systems on AWS • At least two complete generative AI or search retrieval deliveries on Amazon Bedrock or Amazon OpenSearch • Hands-on experience 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 using SharePoint and Teams via Microsoft Graph with Entra app registration, or an equivalent enterprise content platform • Track record of writing architecture and API documents approved by a client security team on first or second review • Experience as the named technical lead on a fixed-fee or fixed-scope engagement of 8–16 weeks • Ability to present to CIO or VP-level audiences and interview with the client before kickoff • AWS Certified Solutions Architect Professional and AWS Certified Generative AI Developer Professional preferred • Prior work with Oracle B2C Service (RightNow) knowledge APIs or Sitecore content APIs preferred • Experience with contact center Agent Assist integrations preferred • Familiarity with SOC 2 or ISO 27001 control language preferred • Legal right to work in the United States required • English proficiency required

🏖️ Benefits

• Global team with collaboration across continents and cultures • Inclusive environment prioritizing continuous learning, innovation, and ethical AI standards • Opportunities to shape real-world AI-driven projects across industries • Equal opportunity employer

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