Forward Deployed AI Engineer, GenAI, AWS

This is a fully remote position, open to applicants in Connecticut, +6 more states.

📋 Description

• Provectus stands as a distinguished AWS partner and an Anthropic Strategic Partner at the cutting edge of applied AI, assisting enterprises in transforming Claude, agentic systems, and their own data into quantifiable business results.

• Focus on Financial Services & Insurance, and Healthcare & Life Sciences by deploying five pre-built AI Blueprints.

• Integrate engineers and leaders within client operations as Forward Deployed Engineers (FDE).

• Spend the initial weeks of an engagement in the operator’s role to understand the work and reconstruct the function from fundamental principles.

• Performance will be assessed based on the movement of the Business Unit’s metrics, rather than hours worked or scope delivered.

• This position is intended for engineers who have prior leadership experience and wish to remain engaged in coding while taking ownership of outcomes.

⛳️ Requirements

• Over 8 years of software development experience, with a significant portion dedicated to writing production code for which you were responsible. You are actively involved today and plan to continue in that capacity.

• Willingness to take on the operator’s role, spending weeks performing someone else’s duties—such as claims processing, underwriting, or revenue-cycle work—prior to writing any code. Engineers seeking to remain solely in the IDE should not apply.

• Quick learner who can rapidly become knowledgeable about an unfamiliar business function, enabling you to engage in discussions with professionals in that area.

• Experience delivering GenAI/LLM systems to production—not merely demos or notebooks. You have dealt with the complexities that arise after the prototype phase.

• Proven ability to evaluate systems. You have created or managed an evaluation suite for a non-deterministic system, and can articulate what you measured and why.

• Strong engineering fundamentals—capable of quickly becoming productive in an unfamiliar codebase or language. Proficiency in Python and/or TypeScript is essential; depth of knowledge is more critical than the specific technology stack.

• Experience with cloud-native delivery on AWS (knowledge of GCP/Azure is a plus): familiarity with containers, Kubernetes/ECS, IaC, CI/CD, and the operational realities of systems that others will inherit.

• Ability to engage credibly with senior stakeholders—you can lead a redesign discussion with a Business Unit head and a scoping conversation with a CTO without losing credibility in either setting.

• Comfort with ambiguity and a sense of ownership. Engagements are intentionally underspecified; bridging that gap is part of the role.

• Solid understanding of AI/ML foundations—you grasp what models excel at and can reason about their failure modes, not just utilize the API.

• Proficiency in English, both written and spoken.

• Nice to have:

• Previous experience as a founder, CTO, or engineering leader who has opted to return to individual contribution.

• In-depth knowledge in one of our blueprint industries: financial services, insurance, healthcare, or asset management.

• Background in consulting, professional services, or other embedded customer-facing delivery roles.

• Expertise in data platforms: data lakes, warehouses, streaming and real-time analytics, data mesh, data contracts, governance, and data quality.

• Familiarity with MLOps and classical ML frameworks: PyTorch, SageMaker, MLflow.

• Experience with fine-tuning, distillation, or optimization for inference/serving.

• Knowledge of graph databases (e.g., Neo4j, AWS Neptune).

• Proficiency in Infrastructure as Code (IaC): AWS CDK, CloudFormation, Terraform.

• Contributions to open-source projects or published writings on applied AI.

🏝️ Benefits

• Engaging in cutting-edge delivery work across Cowork Activation, Agentic SDLC, and Blueprint Activations within Financial Services and Healthcare.

• Opportunity to influence how leading enterprises incorporate AI, from strategic planning to initial deployment.

• A forward-deployed model collaborating in small, senior teams alongside Principal Architects and Forward Deployed Engineers.

• A burgeoning AI delivery practice where you contribute to building tools and frameworks, rather than merely utilizing them.

• A remote-friendly culture.