Note: The job is a remote job and is open to candidates in USA. Provectus is a Premier AWS partner and Anthropic Strategic Partner that helps enterprises apply AI, agentic systems, and proprietary data to achieve measurable business outcomes. The Senior Forward Deployed AI Engineer / Solutions Architect will embed with client teams, learn their operational processes, redesign business functions, and build production-grade GenAI systems while owning technical delivery and business outcomes.
Responsibilities
- 8+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
- You will take the operator’s seat. You are genuinely willing to spend weeks doing someone else’s job — claims processing, underwriting, revenue-cycle work — before you write a line of code. Engineers who need to stay in the IDE should not apply
- You learn domains fast. Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living
- Shipped GenAI/LLM systems to production — not demos, not notebooks. You’ve handled the parts that get hard after the prototype works
- You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
- Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack
- Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits
- Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
- Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
- Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API
- Strong hands-on prodcution experience with Claude Code/Cowork
- Fluent English, written and spoken
Skills
- 8+ years building software, a substantial share of it writing production code you were accountable for. You are hands-on today and intend to stay that way
- You are genuinely willing to spend weeks doing someone else's job — claims processing, underwriting, revenue-cycle work — before you write a line of code
- Demonstrated ability to become conversant in an unfamiliar business function quickly enough to argue with the people who do it for a living
- Shipped GenAI/LLM systems to production — not demos, not notebooks. You've handled the parts that get hard after the prototype works
- You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured and why
- Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you're productive. Python and/or TypeScript proficiency; depth matters more than stack
- Cloud-native delivery on AWS (GCP/Azure a plus): containers, Kubernetes/ECS, IaC, CI/CD, and the operational reality of a system someone else inherits
- Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO without losing either room
- Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job
- Solid AI/ML foundations — you understand what the models do well enough to reason about failure modes, not just call the API
- Strong hands-on prodcution experience with Claude Code/Cowork
- Fluent English, written and spoken
- Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution
- 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, data mesh and data contracts, governance and data quality
- 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, not just use them
- 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
Company Overview
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