4 дня назад
Distinguished Engineer - AI Adoption
254 584 - 381 876$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Distinguished Engineer - AI Adoption (AI): Accelerating enterprise AI adoption by evaluating emerging technologies, designing reusable frameworks, and building prototypes for high-value business use cases with an accent on agentic workflows, LLM applications, RAG, and responsible AI. Focus on designing scalable AI architectures, benchmarking vendors and models, and converting experiments into production-ready engineering patterns.
Location: Chicago, Illinois, United States; in-office work is required 3 days per week. Candidates must live within a reasonable commuting distance from an office unless an accommodation is granted.
Salary: $254,584–$381,876 per year for the Chicago location.
Company
is a Fortune 25 healthcare company focused on improving lives and communities and simplifying healthcare.
What you will do
- Lead enterprise AI adoption with business units, engineering, product, architecture, security, legal, compliance, procurement, and external vendors.
- Translate business problems into AI-enabled designs covering agentic workflows, LLM applications, retrieval-augmented generation, automation, decision support, and AI-assisted engineering.
- Evaluate vendors, foundation models, cloud AI platforms, agentic tools, and orchestration frameworks through prototypes, proofs of concept, benchmarks, and technical assessments.
- Create decision matrices and evaluation criteria covering use-case fit, cost, performance, security, scalability, reliability, integration complexity, compliance, and Responsible AI.
- Design reusable agentic frameworks, reference architectures, prompts, orchestration approaches, integration models, API patterns, guardrails, and deployment standards.
- Build technical accelerators and prototypes across cloud platforms, enterprise systems, APIs, microservices, event-driven architectures, and DevOps environments.
Requirements
- Bachelor’s degree in Information Technology, Computer Science, Engineering, or a related field, or equivalent education and experience.
- At least 15 years of software engineering experience, including leadership in distributed systems and large-scale architectures.
- Experience designing, developing, and maintaining software with Python, Java, or comparable object-oriented languages.
- Experience designing and implementing APIs, microservices, and event-driven architectures.
- Experience applying cloud, CI/CD, and DevOps practices.
- Must be within reasonable commuting distance of an office and work onsite 3 days per week.
Nice to have
- Experience evaluating and implementing AI solutions from multiple vendors and cloud AI platforms.
- Experience developing agentic frameworks, reusable design patterns, prompt strategies, orchestration flows, tool-calling patterns, RAG patterns, and human-in-the-loop models.
- Experience creating technical scorecards, benchmarks, reference implementations, enablement materials, and AI adoption playbooks.
- Experience influencing executives, architects, vendors, and cross-functional stakeholders through hands-on technical delivery.
Culture & Benefits
- Hybrid workforce strategy combining regular office engagement with virtual-work flexibility.
- Medical, dental, vision, disability, life insurance, wellness programs, and financial education resources.
- Paid holidays, paid time off, merit increases, incentive bonuses, 401(k) matching, and an employee stock purchase plan.
- Equal employment opportunity and reasonable accommodations are available in accordance with applicable laws.
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