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GenAI Solution Architect

PamTen IncUnited States🇺🇸United StatesPosted 3 Aug 2026

Why This Role Stands Out

Elevate your career by architecting cutting-edge GenAI solutions in a fully remote environment with PamTen Inc. This role is perfect for innovative mid-senior technologists eager to shape the future of AI and contribute to impactful projects. Apply today to leverage your expertise and grow with a forward-thinking company.

Quick Overview

Work Type
Remote
Level
Mid Senior

Job Description

Role: GenAI Solutions Architect

Location: Remote

 

Responsibilities:

·         Solution Architecture & Design Consulting

·         Serve as the consulting architect for AI use-case teams: shape solution designs, data flows, model access patterns, and integration approaches aligned to the enterprise AI platform and gateway architecture.

·         Produce and maintain reference architectures, design patterns, and working examples for common use-case shapes (RAG applications, document processing, workflow automation, agent-based patterns).

·         Review solution designs against platform standards and governance requirements before build; document findings and drive remediation with delivery teams.

·         Advise on model selection, prompt/context architecture, retrieval design, and oversight/guardrail patterns appropriate to each use case''s risk tier.

·         Platform Alignment & Standards Adoption

·         Ensure all designs route model access through the governed enterprise gateway with correct entitlements, quotas, and logging; prevent parallel or ungoverned access paths.

·         Translate governance standards into architecture requirements delivery teams can implement, and feed practical gaps back into the standards process.

·         Partner with platform engineering on the evolution of platform capabilities based on real use-case demand.
Document network, identity, data-classification, and environment-separation considerations for solution designs.

·         Partner with Cybersecurity architecture on AI threat modeling, prompt-injection risk, and adversarial-testing requirements for solution designs.

·         Enablement & Capability Transfer

·         Pair with application teams that lack AI delivery experience; provide hands-on design and build guidance through their first implementations.

·         Create and deliver architecture enablement materials, design guides, and pattern documentation in repositories.

·         Support solution reviews in governance forums with clear, evidence-based architecture assessments.

·         Transfer patterns, documentation, and working knowledge to FTEs throughout the engagement so capability persists post-contract.

 

Mandatory Skills Description:

·         Minimum of 7 years'' experience in solution architecture, application architecture, or senior engineering roles, including hands-on delivery of cloud-native applications.

·         Hands-on experience architecting and delivering GenAI/LLM-based solutions: model integration, RAG pipelines, prompt/context engineering, and agent or workflow patterns.

·         Strong Azure experience: Azure OpenAI/AI services, API Management, Entra ID, Key Vault, networking and landing-zone concepts, and environment separation.

·         Demonstrated experience producing reference architectures, integration patterns, and design documentation adopted by multiple teams.

·         Experience designing within security, risk, and compliance constraints in a regulated environment.

·         Strong consulting skills: stakeholder communication, design facilitation, and the ability to influence without authority.

 

Nice-to-Have Skills Description:

·         Preferred Qualifications

·         Financial services experience and familiarity with banking SDLC governance (design gates, architecture review, permit-to-build/operate models).

·         Experience with AI gateway/governance patterns: model allowlisting, entitlement-based access, usage controls, audit logging.

·         Experience with vector stores, retrieval services, evaluation harnesses, and MCP/tool-integration patterns.

·         Experience mentoring teams new to AI delivery.

Skills

Azure
LLM
Vault

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