[Hiring] Senior Forward Deployed AI Engineer / Solutions Architect @Provectus

Role Description

Provectus is a Premier AWS partner and an Anthropic Strategic Partner at the forefront of applied AI, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes through bespoke applications, managed services, and advisory engagements.

Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens.

A Forward Deployed AI Engineer at Provectus spends the first weeks of an engagement in the operator’s seat — as the underwriter, the analyst, the RCM specialist, the claims clinician, whoever actually does the work we’ve been asked to change.

Three things define how you work:

• Embedded, not engaged: You are part of the customer’s team and inside their process.
• Real tasks, not scope: You go where the operating problem is.
• Autonomous: You own the method; nobody hands you a ticket.

You’ll be measured on whether the Business Unit’s number moved — not on hours, not on scope delivered.

This is a role for engineers who have led before — as a founder, a CTO, a staff engineer — and who want to stay in the code while owning the outcome.

Qualifications

• 8+ years building software, with a substantial share of it writing production code.
• Genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before writing a line of code.
• Demonstrated ability to become conversant in an unfamiliar business function quickly.
• Shipped GenAI/LLM systems to production.
• Built or owned an eval suite for a non-deterministic system.
• Strong engineering fundamentals; proficiency in Python and/or TypeScript.
• Cloud-native delivery on AWS (GCP/Azure a plus).
• Credible with senior stakeholders.
• Comfort with ambiguity and ownership.
• Solid AI/ML foundations.
• Strong hands-on production experience with Claude Code/Cowork.
• Fluent English, written and spoken.

Requirements

• Prior experience as a founder, CTO, or engineering leader.
• Real depth in one of our blueprint industries: financial services, insurance, healthcare, asset management.
• Consulting, professional services, or other embedded customer-facing delivery.
• Data platform depth: data lakes, warehouses, streaming and real-time analytics.
• MLOps and classical ML: PyTorch, SageMaker, MLflow.
• Fine-tuning, distillation, or inference/serving optimization.
• Graph databases (Neo4j, AWS Neptune).
• IaC depth: AWS CDK, CloudFormation, Terraform.
• Open-source contributions or public writing on applied AI.

Benefits

• Frontier delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations in Financial Services and Healthcare.
• The chance to shape how leading enterprises adopt AI, from strategy through first deployment.
• A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers.
• A growing AI delivery practice where you help build the tooling and frameworks.
• Remote-friendly culture.
• High-impact role with direct visibility to leadership.
• Strong earning potential with performance-based bonuses.
• Opportunity to work with cutting-edge AI and cloud solutions.
• Unlimited Vacation policy.
• Generous health, vision, and dental insurance.
• 401(K) matching plan.
• OTE range $150-180k.

How we hire

• Short loop, hands-on, no take-home.
• Intro conversation — the role, your background, what you want to be doing.
• Two live engineering sessions.
• The redesign session.
• Team and practice conversation.