Senior Solutions Architect

About This Opportunity

We are representing a confidential software platform organization seeking a Senior Solutions Architect to join their elite Professional Services team. This remote role is based in the United States and focuses on helping enterprise customers implement transformative feature management and progressive delivery solutions—with a specialized emphasis on AI-powered applications.

As teams rapidly ship AI features using coding assistants and agentic tooling, safe delivery practices have become mission-critical. Our client helps organizations decouple deployment from release, enabling rapid, reliable software delivery while managing the exponential blast radius of faulty AI systems.

You will lead strategic engagements with engineering, platform, and AI leaders at innovative companies across technology, finance, pharmaceuticals, and entertainment sectors. This is hands-on work—you'll build alongside customer teams, writing production-quality code in their repositories to implement safe AI rollout patterns, not just architecting from slides.

Responsibilities

• Lead complex professional services engagements focused on AI-enabled and traditional software delivery patterns
• Partner with customers to design and build feature management into LLM-powered applications, agentic workflows, and internal AI platforms
• Design and implement safe AI rollout patterns including progressive exposure, guardrails, kill switches, and prompt/model experimentation directly in customer codebases
• Build reference implementations, integrations, and prototypes alongside customer engineers—writing production-quality code that demonstrates patterns in real systems
• Work hands-on in customer environments to instrument AI systems at inference-time and workflow-level decision points
• Support customers building chatbots, copilots, and agent-based systems with safe delivery practices
• Apply consultative approaches to understand customer architectures, gather requirements, and influence technical and organizational decisions
• Act as trusted technical advisor to engineering, platform, DevOps, and AI leaders
• Identify and resolve technical obstacles in complex, distributed, or AI-driven systems
• Establish yourself as a subject matter expert on progressive delivery and emerging AI delivery patterns
• Synthesize customer feedback and collaborate with product teams to shape future capabilities

What We're Looking For

Required Experience and Skills:

• 4+ years in enterprise software, platform engineering, or solutions architecture with hands-on, consultative approach
• Ability to write production-quality code in modern languages (Python, Java, JavaScript/Node.js, Go, or similar)
• Proven ability to independently build and ship working integrations and prototypes in customer repositories
• Hands-on experience with AI-assisted development tools (Claude Code, Cursor, or similar)
• Understanding of Model Context Protocol (MCP) or similar tool-augmented/agent-based approaches, or strong interest in learning
• Experience guiding customers in DevOps, CI/CD, and modern release practices including experimentation and progressive delivery
• Experience delivering across full SDLC in enterprise environments and leading platform transformations
• Strong grasp of how feature management and experimentation platforms accelerate and de-risk software delivery
• Hands-on experience with a major cloud provider (AWS, Azure, or GCP), Linux, and containers
• Open to 20% travel

Personal Attributes:

• Self-starter excited to take on hard problems
• Passionate about helping customers with strong sense of ownership
• Prefer building solutions over writing presentations—though you can do both
• Comfortable pushing back when obvious answers are wrong, staying with problems beyond your immediate scope
• Effective communicator with experts from different backgrounds; skilled at building stakeholder relationships
• Driven to understand how systems actually work by getting into the code

How We Work With You

When you apply through Get A Job.ai, our talent team will review your background and conduct an initial screening. We'll discuss your experience with enterprise architecture, AI systems, and hands-on implementation work. If there's a strong match, we'll submit your profile to our client for consideration.

Please apply exclusively through our platform. Do not attempt to contact the client directly, as all candidates must be presented through our established recruiting partnership.

Pay

Compensation details will be discussed during the screening process based on your location, experience level, and qualifications.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive environment. We are an equal opportunity employer and do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status.