Senior Forward Deployed AI Engineer, GenAI, AWS

Provectus

Forward Deployed AI Engineer at Provectus transforming client operations through applied AI in Financial Services and Healthcare. Engaging deeply with operational roles to re-engineer business functions.

Posted 7/23/2026full-timeRemote • Connecticut, Massachusetts, New Jersey, New York, North Carolina, Pennsylvania, Virginia • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong engineering fundamentals with hands-on experience in building and deploying GenAI/LLM systems on AWS. Capable of quickly learning and adapting to unfamiliar business functions while effectively engaging with senior stakeholders.

Highest-signal resume keywords

GenAI/LLM Systems DeploymentPython ProficiencyCloud-Native Delivery on AWSAI/ML FoundationsData Platform Depth

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Code DevelopmentClaims ProcessingUnderwritingRevenue-Cycle ManagementMLOpsFine-TuningGraph DatabasesIaC (AWS CDK, CloudFormation, Terraform)CI/CDKubernetes

Soft Skills

Stakeholder EngagementComfort with AmbiguityOwnershipRapid LearningCommunication

Tools & Technologies

Claude Code/CoworkPyTorchSageMakerMLflowData LakesData WarehousesStreaming AnalyticsData GovernanceAWS NeptuneNeo4j

Industry Keywords

Financial ServicesInsuranceHealthcareAsset ManagementProfessional Services

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformKubernetesNeo4jPythonPyTorchTerraformTypeScript

About the role

Key responsibilities & impact

Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises turn Claude, agentic systems, and their own data into measurable business outcomes.
Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints.
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.
You will learn the constraints from the inside and rebuild the function from first principles, owning the method as an embedded part of the customer’s team.
You won’t start from zero. Provectus builds industry blueprints — working systems that have already shipped for a customer in your industry. Your engagement starts from that baseline.

Requirements

What you’ll need

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 production experience with Claude Code/Cowork.
Fluent English, written and spoken.
Nice to have:
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

Comp & perks

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