Senior Software Engineering Advisor

The Cigna Group

Software Engineering Senior Advisor designing and steering AI and data engineering solutions. Collaborating with stakeholders to align technology delivery with strategy and value.

Posted 5/15/2026full-timeAlabama, Alaska, Arizona, Florida, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Missouri, New York, Ohio, Pennsylvania, Texas, Utah, Vermont, Washington • 🇺🇸 United StatesSenior💰 $130,200 - $217,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudETLGoogle Cloud PlatformJavaKubernetesPythonScalaSQL

About the role

Key responsibilities & impact

Design and review end-to-end AI/ML solutions: model lifecycle, feature patterns, serving patterns, and integration with business applications
Partner with data science and product teams to turn prototypes into production systems with clear ownership, monitoring, and maintenance paths
Stay current on responsible AI considerations relevant to healthcare and regulated data (e.g., explain ability, bias awareness, data governance handoffs)
Define and implement MLOps practices: CI/CD for models, registries, deployment strategies, A/B or shadow deployments where appropriate, and rollback
Ensure observability for models and pipelines: performance drift, data quality, latency, and business-aligned KPIs
Work with security and platform teams on infrastructure, access patterns, and compliance in ML workflows
Lead design of reliable, scalable data pipelines and platforms that feed training, batch scoring, and real-time inference
Promote data quality, lineage, and contract thinking so ML and analytics consumers trust what they build on
Balance build vs. buy (cloud services, feature stores, orchestration) with total cost, maintainability, and team skills
Translate between business goals and technical options: scope, phasing, risk, and “good enough for now” vs. “must be right first”
Facilitate planning with product owners, legal/compliance, architecture, and operations; document decisions and follow through
Mentor engineers and data practitioners; represent the engineering viewpoint in cross-functional forums without losing sight of delivery

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent practical experience)
Typically 8+ years of software/data engineering experience, including substantial work in at least two of: ML/AI systems, MLOps, or data engineering at scale
Demonstrated experience leading without direct authority: influencing architecture, roadmaps, and multiple teams
Strong proficiency in Python and/or other languages common in data/ML stacks (e.g., Scala, Java)
Cloud platforms (e.g., AWS, Azure, GCP) and experience with containerization, orchestration (e.g., Kubernetes, Airflow, similar), and CI/CD
Data: SQL, batch/streaming patterns, and familiarity with data lakes/warehouses and ELT/ETL
ML lifecycle: model packaging, serving (batch and/or online), experiment tracking, and production monitoring
Excellent written and verbal communication; ability to run workshops, design reviews, and executive-ready summaries of options and tradeoffs
Track record of stakeholder alignment on complex, cross-team initiatives in regulated or enterprise environments (healthcare/insurance a plus)

Benefits

Comp & perks

medical
vision
dental
well-being and behavioral health programs
401(k)
company paid life insurance
tuition reimbursement
a minimum of 18 days of paid time off per year
paid holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI solutionsML solutionsMLOpsCI/CDPythonScalaJavaSQLdata engineeringmodel lifecycle

Soft Skills

leadershipcommunicationmentoringinfluencingstakeholder alignmentplanningdocumentationcross-functional collaborationproblem-solvingdecision-making

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Engineeringrelated field degree