Become a part of our caring community and help us put health first. We are looking for a skilled Decision Intelligence Engineer to design, train, and improve the reinforcement learning policy at the heart of Humana's Next Best Action platform.
This role is hands-on and research-oriented. You will design and evaluate decision-making algorithms, and instrument training pipelines. Additionally, you will collaborate with data and platform engineers. Furthermore, you will ensure the system operates correctly within the constraints of clinical eligibility rules and program-specific objectives.
The Senior Decision Intelligence Engineer Is involved in all stages of software development, including front-end development, back-end development, database integrations, network and hosting management, user interface, user experience, and back-end server management. Begins to influence department’s strategy. Makes decisions on moderately complex to complex issues regarding technical approach for project components, andwork is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments.
Use your skills to make an impact
Required Qualifications
5+ years (post undergraduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
2+ years (post graduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
2+ years of hands-on experience implementing reinforcement learning, operations research methods, or simulation-driven decision systems in production. Relevant backgrounds include policy gradient and value-based RL (PPO, A3C, DQN, CQL), stochastic dynamic programming, discrete-event simulation, or large-scale combinatorial or constrained optimization.
Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward or objective shaping, exploration-exploitation tradeoffs, and constraint formulation in real-world decision systems.
Demonstrated ability to diagnose failure modes in learned or optimized policies: instability, poor credit assignment across long horizons, and distributional shift across large populations.
Proficiency in Python 3.x; experience with PyTorch or TensorFlow for policy network or learned model implementation.
Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization.
Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines processing tens of millions of records.
Experience with MLflow for experiment tracking, model registry, and artifact management.
Experience with shipping systems that operate reliably under production load, not just research or prototype work.
Preferred Qualifications
Experience with multi-agent RL frameworks (PettingZoo or equivalent) or multi-agent simulation and coordination methods.
Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.
Experience operating decision or optimization systems in regulated domains (healthcare, finance, or insurance) where member safety, auditability, and explainability are requirements.
Experience building simulation environments using Gymnasium, SimPy, AnyLogic, or equivalent frameworks for policy evaluation and backtesting.
Familiarity with event-driven feedback loops and how disposition signals feed retraining or re-optimization pipelines.
OpenTelemetry instrumentation experience for ML or optimization pipeline observability.
Work Style: Remote/Hybrid - Preferably Boston, MA.
Occasional travel to Humana's Tech Hubs for training or meetings may be required.
Work Hours: Typical business hours are Monday-Friday, 8 hours/day, 5 days/week-- some flexibility might be possible, depending on business needs.
Very minimal travel might be required for training, meetings, and/or conferences
Work at Home Requirements
WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided with payment for their internet expense.
A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.
Satellite and Wireless Internet service is NOT allowed for this role.
A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information
Interview Format
As part of our hiring process, we will be using on-demand technology provided by Hire Vue, a third-party vendor. This technology provides our team of recruiters and hiring managers with an enhanced method for decision-making through on-demand candidate assessments.
If you are selected to move forward from your application prescreen, you will receive correspondence inviting you to participate in an on-demand assessment with pre-determined questions. You should anticipate the assessment to take approximately 10-15 minutes.
Your on-demand assessment will be reviewed, and you will subsequently be informed if you will be moving forward to next round of interviews.
SSN Task via Workday
Should you be extended a formal employment offer you will receive a request to enter your SSN into our Workday system to scan for duplicate profiles.
Work at Home Requirements: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria: At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required; wireless, wired cable or DSL connection is suggested. In certain roles, the minimum recommended internet speed required by Humana may not be sufficient for business needs. Humana reserves the right to require associates to upgrade their internet service if necessary. Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.
Scheduled Weekly Hours
40Pay Range
The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
Description of Benefits
Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.Application Deadline: 09-27-2026About us
About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com.
Equal Opportunity Employer
It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.
Skills Required
- 5+ years post-undergraduate software engineering or quantitative research building and operating large-scale production systems (data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks).
- 2+ years post-graduate software engineering or quantitative research building and operating large-scale production systems (data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks).
- 2+ years hands-on experience implementing reinforcement learning, operations research methods, or simulation-driven decision systems in production (policy gradient and value-based RL, stochastic dynamic programming, discrete-event simulation, or large-scale constrained optimization).
- Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward shaping, exploration-exploitation tradeoffs, and constraint formulation.
- Demonstrated ability to diagnose failure modes in learned or optimized policies: instability, poor credit assignment across long horizons, and distributional shift.
- Proficiency in Python 3.x.
- Experience with PyTorch or TensorFlow for policy network or learned model implementation.
- Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization.
- Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines.
- Experience with MLflow for experiment tracking, model registry, and artifact management.
- Experience shipping systems that operate reliably under production load (production engineering experience).
- Experience with multi-agent RL frameworks or multi-agent simulation and coordination methods.
- Familiarity with operations research methods applicable to constrained sequential decisioning: linear programming, mixed-integer programming, Lagrangian relaxation, or constraint programming.
- Experience operating decision or optimization systems in regulated domains (healthcare, finance, or insurance) where safety, auditability, and explainability are required.
- Experience building simulation environments using Gymnasium, SimPy, AnyLogic, or equivalent frameworks for policy evaluation and backtesting.
- Familiarity with event-driven feedback loops and how disposition signals feed retraining or re-optimization pipelines.
- OpenTelemetry instrumentation experience for ML or optimization pipeline observability.
Humana Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Humana and has not been reviewed or approved by Humana.
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Healthcare Strength — Medical, dental, vision, supplemental health, and long-term care insurance are offered alongside on-site/virtual wellness resources and weekly paid well-being time, indicating a whole-person focus.
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Leave & Time Off Breadth — Paid PTO and holidays, volunteer time, and formal leave options such as parental and caregiver time provide broad time-away support. Adoption assistance and lactation rooms extend coverage for key life events.
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Retirement Support — A 401(k) with company match anchors long-term savings. Employer-matched emergency savings programs complement retirement planning.
Humana Insights
What We Do
At Humana, our cultural foundation is aligned to helping members achieve their best health by delivering personalized, simplified, whole-person healthcare experiences. Recognizing healthcare needs continue to evolve for each person, for each family and for each community, Humana continuously creates innovative solutions and resources that help people live their healthiest lives on their terms –when and where they need it. Our employees are at the heart of making this happen and that’s why we are dedicated to building an organization of dynamic talent whose experience and passion center on putting the customer first.
