Jobs at Fractal Analytics

Job Title: Lead UX DesignerFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.

Senior Software Development EngineerFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.

Lead Data ArchitectFractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets.

• Develop AgenticAI solutions to address client needs, Interface with the client on a regular basis to understand and address their business problems and design & build the right Agentic AI solutions.
• Use problem solving methodologies to propose creative solutions to solve business problem. Reco...

• Drive advanced analytics and insight generation to explain business performance and recommend actions
• Analyze conversion and conversation trends across time periods, geographies, and customer segments

• This is a hands-on, delivery-focused Senior Data Scientist role leading the design and development of advanced Agentic conversational AI solutions in the banking domain, with a primary focus on Connect AI Agents, Agentic Prompts, and intent/slot tuning built on Amazon Connect and Amazon Lex.
• The role requires deep engagement with experimentation, data analysis, and NLU asset tuning to ...

• Own the measurement strategy: define success metrics, KPI definitions, baselines, and review cadences that connect adoption, engagement, retention, satisfaction, and business performance to product objectives, supported by observability metrics that explain the story behind the outcomes.
• Direct AI-enabled analytics: lead AI-assisted analysis and automated executive dashboards with ...

• Use coding agents (Claude Code, Codex, Cursor, GitHub Copilot, and similar) daily to deliver production-quality code: features, refactors, migrations, tests, and documentation.
• Apply agents to legacy modernization, code migration, and platform migration work on large, multi-repo enterprise codebases.

• Experience as a tech lead or main developer implementing, deploying, and maintaining production solutions
• Agentic systems design and implementation (tool use, orchestration frameworks, multi-step reasoning workflows)

• Design and build FastAPI services that expose models to downstream applications, including request/response contracts, authentication and authorization, input validation, error handling, structured logging, tracing, and metrics.
• Implement queue-based asynchronous serving patterns for higher-latency and higher-throughput wo...

• Design and execute migration strategies for enterprise data, analytics, and AI platforms to AWS cloud environments.
• Assess legacy architectures and define target-state data and AI platform architectures.

• Translate functional requirements into technical design
• Interact with clients and internal stakeholders to understand the data and platform requirements in detail and determine core Azure services needed to fulfil the technical design

• ### Design, develop, and maintain end-to-end web applications using Python and ReactJS.
• ### Build secure, scalable, and high-performance REST APIs and backend services.

• Design and develop production-grade AI applications using the Cogentiq platform.
• Deploy enterprise AI solutions from proof of concept to production.

• Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts.
• Develop and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, Chief Digital Officers, business presidents, and senior technology leaders across multiple buying centers.

• Design and govern enterprise ontologies for insurance concepts such as policies, claims, coverages, parties, products, risks, and losses.
• Develop semantic models using RDF, OWL, and JSON-LD to support analytics, AI, search, and automation use cases.

• Design and develop production-grade AI applications using the Cogentiq platform.
• Deploy enterprise AI solutions from proof of concept to production.

• Strategically drive new business in a healthcare account in close synergy with Solution & Delivery teams to manage assigned sales and margin targets.
• Connect the dots across the client company performance, operating model, internal value chains and industry knowhow (healthcare). Draw implications to account strategy, basis clients’ ongoing divisional shifts.

• 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.

• Partner with senior stakeholders to drive various initiative for D&A org
• Translate business needs into technical requirements for analytics and engineering teams.