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About the Role

Serve as the technical leader for AI innovation within the AQUA organization, partnering directly with business leaders to identify high-impact opportunities, design scalable AI solutions, and establish engineering standards. This is a highly visible leadership role where strategic thinking, technical excellence, and stakeholder influence transform complex business challenges into practical AI-powered solutions.

Responsibilities

Define AI architecture, engineering standards, and reusable solution patterns.
Lead the design and implementation of complex AI solutions, ensuring scalability, security, reliability, and production readiness.
Evaluate and apply effective technologies, including LLMs, RAG architectures, agentic systems, machine learning, and hybrid approaches.
Establish best practices for evaluation, observability, governance, risk management, and cost optimization.
Create reusable frameworks, documentation, and playbooks to improve delivery quality and speed.
Collaborate with business stakeholders to identify opportunities for measurable AI value.
Guide engagements from discovery and solution design through delivery and operational transition.
Translate complex business requirements into practical technical solutions with clear success criteria.
Provide executive-level updates on progress, risks, outcomes, and strategic recommendations.
Make informed decisions in ambiguous situations while balancing business priorities, technical feasibility, and long-term value.
Serve as the trusted technical advisor for senior leadership and key stakeholders.
Lead architectural reviews, strategy discussions, and cross-functional alignment efforts.
Mentor Principal and senior engineers, raising technical standards and fostering a culture of excellence.
Identify repeatable solutions that can evolve into broader enterprise capabilities and platforms.
Strengthen collaboration across product, engineering, security, legal, compliance, and data science teams.

Requirements

12+ years of software engineering, AI/ML engineering, or related experience, including leadership of complex enterprise initiatives.
Deep expertise in AI engineering, including large language models, RAG architectures, agentic workflows, model evaluation, and production AI systems.
Strong proficiency in Python and experience with enterprise technologies such as SQL, Java, TypeScript, or Go.
Experience building, deploying, and operating AI/ML solutions in AWS, Azure, or GCP environments.
Proven success defining technical strategy and influencing outcomes across multiple teams and stakeholders.
Strong understanding of responsible AI principles, including privacy, security, governance, human oversight, and risk mitigation.
Exceptional communication skills with the ability to engage technical, business, and executive audiences.
Demonstrated ability to lead initiatives in highly matrixed, complex organizations.
Internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload if working from home.

Skills

AI engineering
Large language models (LLMs)
RAG architectures
Agentic systems
Machine learning
Python
SQL
Java
TypeScript
Go
AWS
Azure
GCP
Responsible AI principles
Privacy
Security
Governance
Human oversight
Risk mitigation
Communication skills
Technical strategy
Healthcare
Insurance
Pharmacy
Clinical
Care management
Forward-deployed engineering
Solutions engineering
Technical consulting
Customer-facing technology leadership
HIPAA
Model risk management frameworks
AI governance practices
Azure OpenAI
AWS Bedrock
Google Vertex AI
Anthropic
Open-source AI platforms
AI platforms
Developer enablement
Enterprise AI accelerators

Work Type

Remote
Hybrid
Onsite

Experience Level

Senior Contributor
Principal

Education Level

Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
Advanced degree preferred

Salary/Compensations

173,900 - 289,900 USD / yearly

Benefits

Medical
Vision
Dental
Well-being and behavioral health programs
401(k)
Company paid life insurance
Tuition reimbursement
18 days of paid time off per year
Paid holidays
Leaves of absence
Annual bonus plan
Long term incentive plan

About the Company

At Cigna, we use technology, data, and human insight to improve how people access and experience care.
The Cigna Group offers a comprehensive range of benefits, with a focus on supporting your whole health.

Equal Opportunity

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.