Gen AI

Fractal Analytics•Massachusetts, MA

2d•$160,000 - $170,000

About The Position

Fractal is seeking a client-facing GenAI Engineer / Architect with strong solution architecture, engineering, and business analysis skills. This role involves working with business stakeholders, product owners, SMEs, and delivery teams to identify, shape, design, and implement AI-enabled solutions, particularly for healthcare and medtech use cases. The ideal candidate will understand business processes, translate ambiguous needs into scalable GenAI solutions, and ensure delivery meets privacy, quality, compliance, and operational expectations in regulated environments.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related field.
7+ years of experience across solution engineering, architecture, or consulting, with meaningful experience in AI/GenAI delivery.
Hands-on experience with Python and enterprise integration patterns.
Experience with LLM platforms such as Azure OpenAI or OpenAI, prompt engineering, and orchestration frameworks.
Experience with RAG, vector databases/search, document AI/OCR, and API-led solution integration.
Strong business analysis capability: requirement gathering, workshop facilitation, process analysis, user story creation, and stakeholder management.
Experience working in Agile delivery environments using tools such as JIRA, Azure DevOps, or similar.
Strong written and verbal communication skills with the ability to engage both business and technical stakeholders.
Ability to connect business outcomes to technology decisions and delivery priorities.

Nice To Haves

Experience in healthcare, medtech, life sciences, payer, provider, diagnostics, or regulated product/service environments.
Familiarity with HIPAA, GxP/GMP awareness, FDA-regulated environments, privacy, quality, validation, and audit expectations relevant to digital solutions.
Exposure to cloud platforms such as Azure and AWS.
Experience with enterprise search, multilingual content, translation services, analytics, and workflow automation.
Experience supporting client consulting engagements, operating models, and value case development.

Responsibilities

Partner with business stakeholders, capability owners, product owners, and SMEs to identify high-value GenAI and automation use cases across healthcare and medtech service lines.
Run discovery workshops, process walkthroughs, and requirements sessions to understand business pain points, workflows, user journeys, and success metrics.
Translate business needs into solution options, functional requirements, user stories, epics, acceptance criteria, and architecture/design inputs.
Design and implement GenAI solutions using LLMs, prompt engineering, RAG, vector search, document intelligence, OCR, workflow orchestration, and API integrations.
Build and harden document-intelligence pipelines for PDFs, images, and structured/unstructured content at scale.
Define target-state solution architecture, integration patterns, non-functional requirements, guardrails, observability needs, and deployment considerations.
Collaborate closely with architects, engineers, data teams, product teams, compliance teams, and client stakeholders to drive solution delivery.
Evaluate model performance, tune prompts and prompt flows, and establish testing/evaluation approaches for accuracy, latency, safety, and business relevance.
Incorporate multilingual, search, summarization, extraction, and workflow capabilities as required by global healthcare and medtech operations.
Ensure data governance, PHI/PII handling, responsible AI controls, traceability, and privacy-by-design principles are embedded into the solution.
Support backlog creation and refinement with product owners and BAs; maintain delivery readiness for upcoming sprints.
Contribute to sprint ceremonies, demos, governance updates, risk reviews, and stakeholder communications.
Support pilot-to-scale transition, production readiness, runbooks, adoption planning, and continuous improvement.