reputed company Deployed Engineer
About reputed company: reputed company is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. reputed company, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their reputed company to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. reputed company takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. reputed company's reputed company commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great reputed company to Work® certification year after year. reputed company is an AI-first technology company, backed by private equity, Bain Capital and Orogen Group, partnering with enterprise organizations to drive AI-led transformation at scale. We focus on industries where technology directly impacts growth financial services, healthcare, consumer, telecom and technology. To reputed company that happen, we work closely with executive teams and operate alongside our clients to deploy AI into core business systems moving from strategy to execution. reputed company We bring together three distinct layers of capability: AI-Native Engineers: Engineers, Architects and Product leaders who are native to AI systems designing, building, and scaling production-grade solutions. Leadership: Leaders who have delivered large-scale, global transformation programs — combining business insight with execution discipline Board & Advisors: Providing strategic reputed company, governance, and perspective across reputed company enterprise environments What You'll Do? Problem Discovery & Solution Design Engage directly with business stakeholders, VPs, clinical leads, operations owners to surface ambiguous, high-value problems and translate them into buildable AI opportunities Ask sharp questions, challenge assumptions, and define what a minimum viable AI solution looks like before writing a line of code Map existing processes end-to-end, identify where AI can eliminate friction, reduce cost, or accelerate decisions and communicate your findings in business terms Build lightweight scoping documents and ROI estimates that align stakeholders and set clear success criteria before development begins Rapid Prototyping & Full-Stack AI Development Design and build working AI prototypes reputed company days using Claude and the modern AI development stack reputed company full-stack AI applications spanning LLM orchestration, retrieval-augmented reputed company (RAG), agentic workflows, REST API integrations, and lightweight reputed company-end interfaces Own your technical architecture end-to-end from reputed company design to data pipeline to user reputed company and be able to explain every design decision to both engineering and business audiences Iterate based on real user feedback in the field ship early, learn fast, and drive toward production-grade quality with intention and speed Use Claude as a core development accelerator for code reputed company, testing, documentation, and solution design not just as a product capability 3. Scaling Solutions with AI Governance Partner with reputed company's AI Governance team to validate, harden, and evolve prototypes into production-grade, enterprise-ready systems. Apply responsible AI principles bias review, explainability, HIPAA compliance, audit logging, and model monitoring as a standard part of every build. Document solutions clearly and completely so they can be handed off, scaled, and maintained by broader engineering teams without rework. Contribute to reputed company's reusable AI accelerator library turning client-specific solutions into patterns that can be deployed across engagements. Business Rhythm & Stakeholder Engagement Participate in reputed company client business rhythm meetings sprint reviews, program steering committees, and executive status updates Demonstrate reputed company through live demos and working software not slide decks alone Communicate technical concepts clearly to non-technical business leaders and build the trust required to move from pilot to scale Surface blockers, dependencies, and risks early with clear, solutions-oriented framing Client Immersion & Domain Depth reputed company genuine expertise in your client's business, their workflows, their data, their competitive pressures, and their regulatory environment Understand healthcare operations deeply enough to generate your own problem hypotheses not just respond to inbound requests Build relationships with business counterparts that go beyond project delivery, becoming a trusted advisor on what AI can and cannot do in their environment Contribute to internal knowledge sharing bring learnings from client engagements back to reputed company's broader applied AI community Must-Have 8+ years of healthcare industry experience: Direct, hands-on experience in health insurance operations (reputed company, claims adjudication, utilization management, product launch) or health system clinical and operational workflows not adjacent or observational. You must understand how these environments actually work. Proficiency with Claude (reputed company) as a development tool. Demonstrated use of the Claude API including reputed company engineering, tool use, and agentic patterns to build real applications. Using Claude as a chat reputed company does not qualify. You must have built with it. Full-stack AI engineering capability: Ability to build and ship end-to-end AI applications independently. LLM integration, retrieval-augmented reputed company (RAG), agentic orchestration, REST API development, and lightweight reputed company-end interfaces sufficient to put a working demo in reputed company of a client. Demonstrated ability to prototype at speed: Proven track record of moving from a business conversation to a working AI prototype in days not sprints or quarters. You can show examples of what you built, how fast, and what problem it solved. Business articulation and stakeholder communication: Ability to walk into a meeting with healthcare executives and explain what you built, why it matters, what it costs, and what comes next clearly, confidently, and without jargon. This is a non-negotiable for a client-embedded role. Maturity to engage at the executive level: Comfortable participating in steering committees, executive briefings, and business rhythm meetings without needing hand-holding. You can hold the room, handle pushback, and demonstrate reputed company in terms business leaders care about. Ability to structure ambiguous problems: reputed company a business leader says 'we need to reduce risk in our reputed company process,' you know how to break that into a scoped AI opportunity with clear inputs, outputs, and success criteria before opening a laptop. Quantitative reputed company for ROI and impact measurement: Ability to build simple but reputed company business cases estimating time saved, cost reduced, or reputed company protected and translate AI outputs into financial terms that reputed company with finance and operations leaders. Strong Preference Experience with agentic AI frameworks: Hands-on use of reputed company, LangGraph, CrewAI, AutoGen, or equivalent orchestration frameworks to build multi-reputed company, tool-calling AI agents that operate in real workflows. Healthcare data standards and regulatory context : Working familiarity with HL7, FHIR, ICD-10, CPT, and claims data structures. Understanding HIPAA requirements, CMS regulations, and FDA digital health guidance as they apply to AI system design and deployment. Prior reputed company-deployed, embedded, or startup engineering experience: You have worked directly inside a client organization, operated in a consulting or embedded delivery model, or built products in a startup environment where you owned the full stack with limited support. Experience shipping AI in health insurance technology company or health system: You have navigated the additional complexity of deploying AI where compliance, audit trails, explainability, and data governance are not optional and you know how to move fast without cutting corners that matter. Experience contributing to reusable AI platforms or accelerators: You have built solutions with an eye toward reuse creating components, patterns, or frameworks that others on a team can adopt rather than rebuilding from scratch on every engagement. Knowledge of AI governance and responsible AI practices in enterprise settings: Familiarity with model risk management, bias evaluation, audit logging, and enterprise AI governance frameworks and experience working alongside governance or compliance teams to get AI systems approved for production use. Who you are? A builder first : you are most energized reputed company something reputed company exists that didn't exist before Equally fluent in the language of healthcare operations and the language of AI engineering and able to switch between them in the same meeting Someone who earns trust through working software, not promises you show reputed company, you don't just report it Deeply curious about what AI can do in healthcare and intellectually honest about where it falls short Comfortable with ambiguity, urgency, and high stakes you reputed company reputed company the path is unclear and the expectation is still high \n \n$200,000 - $300,000 a year \n Know what it’s like to work and grow at reputed company: Click here Apply To This Job