AI Architect

Voya Financial • Windsor, SC

1d • $130,970 - $183,680 • Hybrid

About The Position

The AI Automation Architect is responsible for designing, developing, and governing enterprise‑grade AI solutions that align with business strategy. This role blends deep technical expertise in artificial intelligence, machine learning, and cloud architecture with strong product intuition, security awareness, and leadership. The AI Architect ensures that AI initiatives are scalable, ethical, secure, cost‑efficient, and integrated into the broader enterprise ecosystem.

Requirements

• 3+ years in ML engineering, Data Science, AI, or related architecture roles.
• Strong hands‑on experience with ML frameworks, LLM platforms - OpenAI, MSFT/Azure Cloud foundry, Copilot Studio Agent builder, low code/no code platforms, and generative AI tools.
• Expert-level knowledge of cloud platforms (Azure) and modern architecture patterns.
• Experience in Python, Azure ML Studio, MLOps/LLMOps tooling (MLflow, Kubernetes, LangChain, Vector DBs, Feature Stores).
• Background in RAG systems, model fine‑tuning, embeddings, vector storage, and retrieval optimization.

Nice To Haves

• Experience enterprise-wide AI programs or platform buildouts.
• Strong understanding of data governance, privacy, security, and model risk management.
• Prior experience with large-scale transformation programs.

Responsibilities

• AI Strategy & Solution Architecture Define and evolve the enterprise AI architecture, ensuring alignment with business, data, and technology strategies.
• Design scalable, secure, and compliant automation solutions to streamline across the enterprise Architect end‑to-end AI solutions including data ingestion, model development, model operations (MLOps), and lifecycle management.
• Partner with business, product, and engineering teams to translate business problems into appropriate AI/ML approaches.
• Develop reference architectures and reusable patterns for generative AI, Agentic AI, predictive models, conversational systems, and intelligent automation.
• Provide architectural oversight across AI/ML projects to ensure consistency, performance, and maintainability.
• Evaluate and select AI technologies, frameworks, cloud services, vector databases, LLM orchestration frameworks, and tooling.
• Support development teams on model selection, training pipelines, prompt engineering, fine‑tuning, RAG (Retrieval-Augmented Generation), and evaluation methodologies.
• Mentor engineers, analysts, and product teams on AI best practices.
• Partner with data architects and engineering to ensure robust data pipelines, governance, feature stores, and architecture.
• Design secure and performant integration between AI models and enterprise systems (APIs, microservices, events).
• Ensure AI solutions adhere to enterprise security standards, data privacy policies, and regulatory requirements.
• Implement responsible AI guardrails, fairness checks, explainability frameworks, and monitoring.
• Develop and maintain automation governance frameworks, documentation, and audit trails.
• Define MLOps / LLMOps standards including CI/CD pipelines, model monitoring, drift detection, observability, and rollback processes.
• Drive continuous improvement of model performance, cost optimization, and operational efficiency.
• Establish KPIs, telemetry, and feedback loops for production AI systems.
• Partner with IT, compliance, operations, and customer service teams to align automation initiatives with business goals.
• Mentor and guide developers and analysts to build a center of excellence (CoE) for automation.

Benefits

• Health, dental, vision and life insurance plans
• 401(k) Savings plan – with generous company matching contributions (up to 6%)
• Voya Retirement Plan – employer paid cash balance retirement plan (4%)
• Tuition reimbursement up to $5,250/year
• Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day.
• Paid volunteer time — 40 hours per calendar year

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed