Senior Forward Deployed Specialist

Description

The company is a large healthcare organisation that provides insights, products and services to make quality care more accessible and affordable. The Provider Solutions team is hiring a Forward Deployed Specialist to work directly with business and operations groups, turning complex, high-value problems into validated AI-enabled solutions.

This is a hands-on, embedded engineering role for someone who is comfortable with unclear problems, can connect business needs to technology, and can move quickly from discovery to a working prototype.

You will own the early part of the AI delivery lifecycle: learning workflows, framing problems, weighing technical options, building and testing prototypes, and checking value with users. Once an idea is proven, you will set a production path and work with application, data, MLOps, architecture, security, compliance and operations teams to move it toward scale.

The role calls for solid software engineering judgment, wide technical knowledge and strong stakeholder skills. You will keep the technical direction consistent from problem through prototype, protect the intended business outcome, and give downstream teams the context they need to deliver a scalable, governed solution.

Responsibilities

• Work alongside practice and business teams to understand their workflows, user needs, operational limits, pain points and goals.
• Run discovery workshops, workflow reviews and problem-framing sessions with executives, physicians, clinical staff, revenue cycle leaders, operations teams and subject matter experts.
• Turn vague business needs into clear problem statements, testable hypotheses, technical options, prototype scopes and measurable success criteria.
• Advise stakeholders on where AI, automation, data or workflow tools fit, and explain their capabilities, limits, risks and trade-offs clearly.
• Design practical solutions using approved enterprise technologies, architecture patterns and available data.
• Build working prototypes, proofs of concept and thin-slice solutions to test feasibility and gather useful feedback from representative users.
• Apply solid software engineering practices so prototype code, interfaces and design decisions can be understood, reused or extended by delivery teams.
• Use AI patterns such as retrieval-augmented generation, copilots, agents, semantic search, decision support and workflow automation where they suit the problem.
• Demonstrate prototypes, collect user and technical feedback, iterate quickly, and recommend whether to stop, refine or advance the work.
• Spot application, data, integration, security, architecture, operational and governance dependencies early in the engagement.
• Work with AI application engineers, data engineers, MLOps engineers, architects, product leaders, security, compliance and business SMEs to shape a workable delivery path.
• Define solution requirements, dependencies and acceptance criteria for production delivery.
• Assess production readiness and record risks, decisions and required controls.
• Lead the handoff of solutions to engineering teams and support their implementation.
• Capture patterns, assets and lessons learned from each engagement so they can be reused.
• Contribute to FDE playbooks, prototype standards, reusable asset libraries and delivery practices that improve speed and consistency.
• Coach engineers in business discovery, problem framing, rapid prototyping and communicating with technical stakeholders.

Requirements

• A bachelor's degree in computer science, engineering, information systems or a related field, or equivalent practical experience.
• Typically 7+ years of relevant experience in software engineering, solution engineering, solution architecture, technical consulting, enterprise application delivery or digital transformation.
• 7+ years building, integrating, troubleshooting or delivering enterprise software.
• Hands-on full-stack experience across modern web apps, APIs, data, AI services, identity, security and cloud infrastructure, including troubleshooting.
• Hands-on work with React, Node.js, TypeScript, Python and modern web application architecture.
• Skilled at API diagnostics and browser troubleshooting, covering network requests, authentication, application state, errors and performance.
• Hands-on work with Snowflake and Databricks, including data pipelines, lineage, reconciliation, data quality and performance tuning.
• Experience using logs, metrics, traces, dashboards and alerts for root-cause analysis and for confirming end-to-end behaviour.
• Proven ability to diagnose problems across application, integration, data, AI, security and infrastructure layers and choose the right fix.
• Proven record of turning ambiguous business problems into working solutions, prototypes or proofs of concept.
• Experience designing or prototyping AI-enabled solutions such as copilots, agents, retrieval-augmented generation, semantic search, decision support or workflow automation.
• Experience using AI coding assistants, such as Claude or similar tools, to speed up development while reviewing, testing, securing and refining the output to meet the company engineering and quality standards.
• Working knowledge of software delivery, enterprise integration, security, privacy, Responsible AI, data governance, operational readiness and supportability.
• Experience working directly with business leaders, SMEs, end users and cross-functional engineering teams.
• Able to weigh technical alternatives, explain trade-offs and recommend a suitable approach even when requirements are incomplete.
• Strong written and verbal communication, facilitation and presentation skills, able to explain complex technical ideas to technical and non-technical audiences.
• Able to work independently on complex or highly visible initiatives while keeping stakeholders aligned on outcomes, scope, risks and ownership.
• Preferred: healthcare experience in oncology, clinical operations, revenue cycle, patient access, care management, provider operations or a related area.
• Preferred: experience with Azure AI services, Databricks, Python, C, TypeScript, REST APIs, ServiceNow, Salesforce, Power BI or comparable enterprise tools.
• Preferred: experience with retrieval-augmented generation, prompt and response evaluation, agentic workflows, semantic search or AI guardrails.
• Preferred: experience in regulated environments applying Responsible AI, cybersecurity, privacy, compliance and data governance rules.
• Preferred: experience with Agile, product-led, innovation lab, consulting or pod-based delivery models.
• Preferred: ability to learn unfamiliar business domains and technology environments quickly.
• Preferred: strong customer and business empathy, outcome focus, engineering judgment and the ability to influence without direct authority.

Conditions

Work model: flexible, with 2 days a week in the office.

Base pay range: $99,100 - $132,100.

Final pay depends on performance, experience and skills, equity, periodic market reviews and location. Annual bonus or long-term incentive awards may also be offered on top of base pay.

Be aware of recruitment scams that impersonate the company or its affiliates. Recruiters will never ask for money or card details, will not contact candidates through chat rooms or personal email accounts, and the company uses a virtual assistant named Gia for some candidate messages. Official postings appear only on the careers site.

The company is an equal opportunity employer.