Solutions Architect

Harnham Inc.
Houston, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 215K

Job location

Houston, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Software as a Service
Cloud Engineering
Continuous Integration
Distributed Systems
Human-Computer Interaction
Interoperability
Automation of Marketing
Modular Design
Azure
Systems Integration
Large Language Models
Multi-Agent Systems
Generative AI
Containerization
Uipath
Virtual Agents
Api Design
Data Pipelines
Automation Anywhere

Job description

As a Senior Solutions Architect - Agentic AI, you will lead the design and delivery of end-to-end AI-powered solutions, leveraging LLMs, multi-agent systems, and intelligent automation frameworks. You will work at the intersection of architecture, hands-on development, and business transformation, partnering with cross-functional teams to deploy solutions that move beyond pilots into production-grade systems with measurable ROI., * Architect and deliver agentic AI solutions leveraging LLMs, multi-agent orchestration, and automation frameworks

  • Translate business challenges into scalable, production-ready architectures with clear KPIs (efficiency gains, cost reduction, etc.)
  • Design end-to-end systems including orchestration layers, data pipelines, integrations, and user interaction models
  • Lead and collaborate with cross-functional teams (engineering, product, data, and business stakeholders) in a POD-based delivery model
  • Define and implement best practices for agentic AI, including:
  • Orchestration patterns
  • Prompt and agent design
  • Governance, guardrails, and observability
  • Build reusable components (prompts, connectors, workflows) to accelerate solution delivery
  • Ensure secure, scalable deployments aligned with enterprise standards
  • Act as a thought leader, driving adoption of AI-first solutions and mentoring teams

Requirements

This role is ideal for candidates coming from SaaS or product-led environments who have experience building and deploying real-world AI solutions at scale-not just conceptualizing them., * 8-12+ years of experience in solutions architecture, AI/ML platforms, or distributed systems

  • Strong background in SaaS, product-led, or technology-first organizations
  • Proven experience designing and deploying production-grade AI solutions, not just POCs
  • Hands-on experience with:
  • Generative AI and LLM-based systems
  • API-driven and event-based architectures
  • Solid understanding of enterprise integrations (ERP, CRM, ITSM platforms)
  • Experience with cloud-native architectures (AWS, Azure, or GCP), CI/CD, and containerization
  • Strong understanding of security, governance, and scalable design principles

Preferred Experience

  • Experience building AI-powered features or platforms within SaaS environments
  • Familiarity with Agent-to-Agent (A2A) or MCP-style interoperability
  • Exposure to automation platforms (UiPath, Automation Anywhere, etc.)
  • Experience leading delivery in fast-paced, high-growth environments
  • Strong stakeholder engagement and executive communication skills

What We're Looking For

  • A hands-on architect who can design and help deliver-not a pure strategist
  • Someone with a product mindset and experience in SaaS environments
  • Proven ability to move from concept ? production ? scale
  • Strong bias toward execution, ownership, and measurable outcomes
  • Comfortable working onsite in a highly collaborative environment

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