Role overview

Qualifications

Strong hands-on experience designing and delivering generative AI solutions, ideally on Amazon Bedrock or comparable foundation-model platforms.
Deep understanding of LLM application patterns: RAG, agents, prompt engineering, function/tool calling, grounding/citation, and model evaluation.
Solid grounding in the broader AWS stack, including IAM, networking, storage, encryption, logging, and security fundamentals, not just the AI services.
Excellent communication and stakeholder-facing skills; able to lead architecture and security workshops and explain technical concepts to mixed audiences.

Responsibilities

Define secure, repeatable AI reference architectures spanning Amazon Bedrock, Amazon Q Business, and Amazon QuickSight as appropriate to the selected use cases.
Design generative AI patterns, including foundation model selection criteria, prompt and grounding design, RAG pipelines, agentic workflows, and tool/function calling.
Establish the secure AI foundation: identity, role-based access, encryption, logging, data-boundary controls, and audit patterns, working with the Security Architect.
Lead architecture and security review workshops, demos, and enablement office hours with the customer and stakeholders, presenting trade-offs in clear, accessible terms.

Key facts

Remote from: United States
Fixed term
Expert & Leadership (>10 years)
English

Hard skills

Generative Artificial Intelligence AWS Bedrock Architectural Design Prompt Engineering Model Validation AWS Identity And Access Management (IAM) AWS Networking Amazon Cloud Drive Data Classification Amazon MQ Amazon QuickSight Mload CI/CD Infrastructure as Code (IaC) Microsoft 365 ServiceNow JIRA Dynatrace Stakeholder Engagement

Other skills

Governance
Communication
Team Leadership

About the company

Numentica LLC

Numentica LLC, founded in 2008, is a team of software experts who have built enterprise software at fortune 500 companies and helped them achieve success. We have worked across industries such as ECommerce, Finance, Marketing and Supply Chain Automation - each of these industries have unique needs, but they share one particular challenge: They need to manage large amounts of structured and unstructured data. Numentica's team specializes in helping companies wrangle big data and making sense of it. We are a niche consulting firm specializing in software product development, business intelligence, and data management. We believe that our success is built on the success of our clients, and we do what it takes to give our clients a sustained competitive edge through value and innovation. By formalizing our experience into innovative tools and frameworks, we help our customers accelerate time-to-market, improve the quality of products and reduce costs. Our unique culture promotes excellence and drives innovation through trust, pride and teamwork. Some key differentiators that help us build enduring relationships with our clients include Mindshare: Our engagement model, partnership mindset and organization structure ensure that our customers get all the mindshare that they need, and more. Team stability: Our staff retention and longevity provides immense confidence to our customers that the investment they make in their teams with us shows excellent ROI. Service orientation: We never forget that we are in the software services business, an attitude that carries tremendous weight in our recruitment process. Our customers get teams that always go the extra mile to advance their businesses. Partnership mindset: As a company, we take a very long-term view to each and every relationship. We invest time and effort that we know is required for the relationship to mature.

Company details

Company typeSME

Company size201 - 500

Links

Website LinkedIn See all jobs

Your match analysis

See how your profile stacks up against this role.

We compared the job requirements to your profile to show where you're strong and where you fall short.

Job description

This is a remote position.

Role Summary

The GenAI / Bedrock Architect owns the technical design of generative AI solutions built on Amazon Bedrock and the broader AWS AI stack. This is a senior, customer-facing role where AWS and customer staff jointly design, build, and secure AI capabilities rather than handing
over finished artifacts. The architect defines secure, repeatable reference architectures, leads architecture and security workshops, translates business use cases into sound and governed designs, and actively enables the customer's own engineers to keep building after the

engagement.

Key Responsibilities

Define secure, repeatable AI reference architectures spanning Amazon Bedrock, Amazon Q Business, and Amazon QuickSight as appropriate to the selected use cases.
Design generative AI patterns, including foundation model selection criteria, prompt and grounding design, RAG pipelines, agentic workflows, and tool/function calling.
Establish the secure AI foundation: identity, role-based access, encryption, logging, data-boundary controls, and audit patterns, working with the Security Architect.
Define guardrails, content filtering, prompt-logging policy, human-review patterns, and responsible-AI controls, accounting for data classification and PHI/PII handling.
Set the model and retrieval evaluation strategy and quality metrics, including citation and grounding expectations, and oversee iterative tuning.
Produce production-readiness gap analysis and a hardening/productionization roadmap.
Lead architecture and security review workshops, demos, and enablement office hours with the customer and stakeholders, presenting trade-offs in clear, accessible terms.
Enable and upskill the customer's engineering teams through paired design work, including spec-driven development and MCP-based workflows.
Provide technical direction to AI Application Engineers and Data/Search Specialists and produce reusable architecture artifacts, reference patterns, and documentation.

Required Qualifications

Strong hands-on experience designing and delivering generative AI solutions, ideally on Amazon Bedrock or comparable foundation-model platforms.
Deep understanding of LLM application patterns: RAG, agents, prompt engineering, function/tool calling, grounding/citation, and model evaluation.
Solid grounding in the broader AWS stack, including IAM, networking, storage, encryption,logging, and security fundamentals, not just the AI services.
Experience defining guardrails, evaluation frameworks, and responsible-AI / governance controls, including data classification and PHI/PII handling.
Excellent communication and stakeholder-facing skills; able to lead architecture and security workshops and explain technical concepts to mixed audiences.
Proven ability to operate as a technical lead across a small delivery team.
Demonstrated experience enabling and upskilling customer engineering teams through paired delivery, not just shipping solutions.
Familiarity with spec-driven development workflows and MCP (Model Context Protocol) based tooling.
Please provide a list of current AWS certifications

Preferred Qualifications

Experience delivering AI solutions in regulated or public-sector / government environments.
Familiarity with Amazon Q Business and QuickSight, and with enterprise knowledge and BI patterns.
Experience integrating with the Microsoft 365 ecosystem (SharePoint, Exchange/Outlook, Teams, OneDrive) and tools such as ServiceNow, Jira, Dynatrace, or Wiz.
Background in MLOps, CI/CD, or infrastructure-as-code on AWS.

Location & Travel

This is a US-only position; candidates must be authorized to work in and based in the United States.
The role is primarily remote but may require travel up to 20% during the engagement for on-site workshops and customer sessions.

Experience Level

Senior. Typically 10+ years overall with significant recent experience in AI/ML and cloud architecture. This is the technical anchor for the engagement and must hold up to customer and partner scrutiny.