Humana
Humana
Humana este o companie de servicii medicale și asigurări de sănătate axată pe îmbunătățirea rezultatelor în materie de sănătate pentru persoane, comunități și sistemul de sănătate în ansamblu. Activitatea sa include planuri Medicare Advantage de tip HMO, PPO și PFFS, destinate unor categorii de populație precum persoanele vârstnice și membrii forțelor armate. Humana pune, de asemenea, accent pe un mediu de lucru incluziv, construit pe sentimentul de apartenență, respect reciproc și oportunități pentru angajați de a contribui la misiunea companiei axată pe sănătate.

Associate Director, AI Enablement – Humana (Louisville, KY, Onsite)

Lead Humana’s AI Enablement strategy and build an agentic software delivery lifecycle for healthcare operations. Drive enterprise AI adoption through platform engineering, governance, organizational change, and developer productivity.

Descriere

  • Build Humana’s Agentic Development Lifecycle as an AI-native software delivery platform program
  • Direct four program tracks with governance and goals for reuse, uptime, cost efficiency, and regulatory defensibility
  • Improve productivity across diverse IT disciplines through generative AI
  • Apply Agile, engineering, and DevOps practices throughout the IT organization
  • Lead enterprise organizational change and influence matrixed teams without formal reporting authority
  • Oversee product and platform engineering delivery for assigned teams
  • Coach agile and operations teams as they adopt new technologies and working practices
  • Review and author architecture decisions, ADRs, and agent design specifications
  • Prototype sub-agent definitions, tool and MCP integrations, prompts, and character specifications in the agent harness
  • Analyze traces, assess evaluation-harness results, and troubleshoot agent behavior with engineers
  • Contribute to reference implementations for Factory PODs
  • Participate in code and design reviews
  • Develop presentations, promote delivered capabilities, and communicate progress to senior leaders
  • Report to the Director of AI Enablement in Enterprise Engineering Services

Cerințe

  • At least 15 years of software engineering experience
  • At least five years leading engineering managers, technical leads, or multiple squads
  • Ownership of a multi-track or platform-scale program involving at least three parallel workstreams and 25 or more engineers
  • Hands-on expertise in at least two of distributed systems, platform or SRE engineering, ML or AI engineering, and cloud infrastructure
  • Production experience with Kubernetes and at least one major cloud platform: GCP, Azure, or AWS
  • Working knowledge of LLM application development, including agent frameworks, prompt engineering, RAG, tool or function calling, and evaluation methods
  • Experience delivering software in regulated environments with security and compliance requirements
  • Ability to align peer organizations without direct authority
  • Experience with enterprise engineering platforms such as Azure DevOps Services, GitHub, SonarQube, Artifactory, TFE, or comparable tools
  • Experience with cloud technologies, infrastructure as code, Kubernetes, GitOps, Argo, and Terraform Enterprise
  • Deep understanding of large language models, including their training processes
  • Excellent written communication skills, including architecture documentation and one-page briefs for vice presidents
  • Compassionate, people-focused leadership that supports team development
  • Ability to give direct, constructive feedback to direct reports
  • Strong communication skills and effectiveness in highly agile environments
  • Technical credibility with recent production coding or architecture work; candidates without this experience in the past 24 months are unlikely to be suitable
  • Master’s degree strongly preferred
  • Production experience with agentic AI
  • Familiarity with Claude Code, Claude Agent SDK, MCP, or comparable agent tools
  • Healthcare, payer, or life sciences experience with HIPAA or PHI handling preferred
  • Exposure to AI governance frameworks such as NIST AI RMF, ISO 42001, the EU AI Act, or model risk management
  • FinOps experience preferred
  • Experience modernizing legacy systems or leading enterprise developer productivity programs preferred

Beneficii

  • Bonus incentive plan tied to company and/or individual performance
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • 401(k) retirement savings plan
  • Paid time off
  • Company holidays
  • Personal holidays
  • Paid parental leave
  • Paid caregiver leave
  • Short-term disability coverage
  • Long-term disability coverage
  • Life insurance
  • Wellness resources and smart healthcare decision support

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