Strategy and Operations, AI Growth
Stripe
Senior Architecture Advisor – AI Principal
Endava
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
AirflowAWSAzureCloudPythonPyTorchSQLTensorflow
About the role
- Define and execute enterprise-wide Data & AI Strategy, aligned with business and leadership
- Partner with executive leadership to identify and prioritize AI use cases that deliver measurable value
- Establish a roadmap for Generative AI adoption, LLM deployment, and Responsible AI governance
- Serve as a thought leader across AI, ML, Data Engineering, and Business Transformation domains
- Design and prototype AI/ML and GenAI solutions using frameworks such as PyTorch, TensorFlow, LangChain, Hugging Face, and Vertex AI / Azure AI
- Drive end-to-end architecture — from data ingestion and feature engineering to model deployment and monitoring
- Mentor data scientists, MLOps engineers, and solution architects in advanced modeling, GenAI pipelines, and prompt optimization
- Evaluate and integrate enterprise and open-source AI platforms to accelerate innovation
- Define data modernization roadmap — encompassing data fabric, metadata management, and data quality frameworks
- Partner with enterprise architecture to ensure data accessibility, interoperability, and AI-readiness
- Lead initiatives around data democratization and AI-native platform enablement (including RAG, vector databases, and feature stores)
- Champion the convergence of Data, AI, and Analytics platforms for unified intelligence delivery
- Work closely with Product, Clinical, PBM, and Engineering teams to embed AI capabilities within business workflows
- Partner with external vendors and hyperscalers (AWS, Azure, Google Cloud) to co-develop scalable AI solutions
- Communicate complex AI strategies clearly to senior leadership, stakeholders, and non-technical partners
Requirements
- 10+ years of experience in Data Science, AI, or Enterprise Data Strategy, with at least 5+ years in leadership/principal roles
- Strong hands-on expertise in machine learning, GenAI, NLP/LLM development, and MLOps
- Proven ability to build and scale AI Centers of Excellence (CoE) and align technical execution with enterprise strategy
- Proficiency with Python, SQL, cloud-native AI platforms, and modern data stack (Databricks, Snowflake, Airflow, MLflow, etc.)
- Demonstrated success influencing senior executives and leading cross-functional AI transformations
- Experience with responsible AI, governance frameworks, and regulatory compliance (HIPAA, PHI) desired
- Experience implementing agentic AI or autonomous analytics frameworks desired
- Good to have understanding of Insurance, PBM, Healthcare data domains
- Good to have understanding and working experience in End-user/Contact Center technology verticals
Benefits
- Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus
- Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership
- Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences
- Hybrid work and flexible working hours, employee assistance programme
- Global internal wellbeing programme, access to wellbeing apps
- Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Data ScienceAI StrategyMachine LearningGenerative AINatural Language ProcessingMLOpsData EngineeringFeature EngineeringModel DeploymentData Modernization
Soft skills
LeadershipCommunicationMentoringInfluencingCollaborationStrategic ThinkingProblem SolvingThought LeadershipCross-functional LeadershipStakeholder Engagement
