Healthcare Forward Deployed Engineer Accenture - 3.9 Cleveland, OH Job Details Full-time $59,100 - $235,100 a year 20 hours ago Benefits Paid holidays Disability insurance Health insurance Dental insurance 401(k) Paid time off Vision insurance Qualifications AI models Containerization systems Authentication Data model design X12 EDI Data quality checks Technical engineering Systems integration Program design EDI Continuous deployment Data modeling projects RESTful API Full-stack development OAuth 2.0 Tooling Relational database modeling Infrastructure as Code (IaC) IT system monitoring CMS System design HIPAA NoSQL Application deployment AI platforms (beyond public GPTs) Machine learning projects Information security Prompt engineering Infrastructure architecture design

Microservices Full Job Description We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work. With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

Provider An AI Native Engineer that brings deep technical and domain expertise to AI programs at provider organizations — designing solutions that work inside the realities of the electronic medical record and clinical workflows, extending to the administrative side of care where AI can ease the burden of documentation, prior authorization, coding, and revenue cycle. You'll help providers put AI to work across both the clinical and operational realities of their environment and help define the future of healthcare interoperability. Payer An AI Native Engineer that brings deep technical and domain expertise to AI programs at health plans — designing solutions that work inside the realities of core administrative platforms and the claims and member data that flow through them, where AI can ease the burden of adjudication, prior authorization, utilization management, and member and provider service. You'll help payers put AI to work across both the operational and clinical realities of their environment and help define the future of healthcare interoperability.

The Work:

Embed with provider teams. Work forward-deployed inside health systems, hospitals, and physician groups - alongside clinical informatics, physicians and nurses, and revenue-cycle and operations leaders - redesigning processes around AI and co-creating solutions using AI tooling to move quickly from idea to working solution. Scope the program. Define the problem, the intended outcome, and what good looks like - and identify where AI can automate or augment clinical and administrative work. Set the technical architecture. Lead the technical architecture of AI programs in provider environments and articulate it clearly, on paper and in diagrams, for engineers and clinical leaders alike. Design for trust. Make sure the solutions you shape are safe, compliant, and clinically sound - building the human oversight, transparency and PHI safeguards that AI in care settings demands. Reimagine the ways of working. Reimagine the future way of working for clinical and operational teams, rather than simply automating today's processes. Shape interoperability. Help define the future of healthcare interoperability — how the broader ecosystem can connect to the health record in a deep, meaningful way. Turn engagements into reusable approaches. Distill what works across providers into repeatable methods and accelerators, so each program starts further ahead than the last. Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements. Here's what you need Minimum of 3 years of hands-on engineering experience with cloud-native systems — APIs, microservices, containerization, and serverless — including working with AI platforms (Claude, OpenAI, Vertex AI, or open-source models) and at least 1 year designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production Minimum of 3 years of experience hands-on coding in at least one general-purpose language (e.g., Python, Java) and the ability to pick up others as engagements demand Minimum of 3 years of experience with hands-on production deployment experience — CI/CD, infrastructure as code (Terraform, Helm), monitoring, and debugging — with demonstrated end-to-end delivery ownership in a client-embedded environment Minimum of1 year of experience delivering AI or technology programs inside payer organizations. Minimum of 1 year of hands-on experience using Claude or an equivalent frontier AI tool to do the work. Bachelor's degree (or equivalent minimum 12 years work experience, or minimum 6 years' work experience with Associate's degree) in Computer Science, Computer Engineering, or a related field.

Professional Skills Requirements:

Deep understanding of how core administrative and claims platforms work and how claims and member data are structured, with direct QNXT, Facets, HealthEdge, or comparable experience Fluency with data — non-trivial SQL, relational modeling, and reasoning about data quality and data lineage Working knowledge of healthcare interoperability standards and EDI mechanisms: X12 transaction flows (837, 835, 270/271, 276/277, 278, 834), FHIR APIs, and the broader exchange landscape Deep understanding of payer workflows — how coverage and payment actually work across eligibility and enrollment, claims adjudication, prior authorization and utilization management, provider network and reimbursement, appeals and grievances, and risk and quality programs — including a real sense of where administrative burden and cost accumulate and where AI can meaningfully relieve it, and how the regulatory environment (HIPAA and CMS requirements) shapes what solutions can look like AI solution architecture and AI program scoping, with strong written and presentation skills Comfortable working forward-deployed, embedded directly with health plans in a fast-iterating model High tolerance for ambiguity and the patience to make things work inside slow-moving, high-stakes IT environments Technical fundamentals: The technology fundamentals expected of any capable full-stack engineer building AI solutions in a healthcare environment: How the web works end to end: HTTP/HTTPS, the request/response lifecycle, REST APIs, and

JSON. API

design and integration: authentication, pagination, rate limits, retries, versioning, and event-driven patterns (webhooks, batch file feeds); comfortable reading and building against unfamiliar API documentation, including FHIR and payer platform and clearinghouse APIs.

Data fundamentals:

relational and NoSQL databases, data modeling, and SQL — applied to the messy, real-world claims, eligibility, and clinical data these programs run on. Working with frontier

AI:

the fundamentals of building with large language models — prompting, grounding responses in real data (retrieval / RAG), structured outputs and tool use, and evaluating quality while designing around non-determinism and the need for human oversight. Security and handling

PHI:

authentication vs. authorization, token-based auth (OAuth / JWT), validating all input (never trust the client), and the essentials of protecting sensitive health data — encryption in transit and at rest, least-privilege access, and audit logging. A practical feel for system tradeoffs: caching, queues and background jobs, idempotency, and when work should run in-request versus asynchronously. Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 10/31/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here: U.S. Employee Benefits | Accenture Role Location Annual Salary Range California $70,350 to $235,100 Colorado $63,800 to $203,100 Connecticut $63,800 to $203,100 District of Columbia $68,000 to $216,300 Illinois $59,100 to $203,100 Maine $54,400 to $173,100 Maryland $63,800 to $203,100 Massachusetts $63,800 to $216,300 Minnesota $63,800 to $203,100 New York $66,300 to $235,100 New Jersey $68,000 to $235,100 Ohio $59,100 to $188,100 Virginia $59,100 to $216,300 Washington $80,200 to $216,300 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.