Note: The job is a remote job and is open to candidates in USA. Voya Financial is dedicated to providing financial opportunities for everyone, and they are seeking a Director of AI Engineering & Agentic Platform. This role involves designing and operating AI engineering capabilities to enhance investment decision-making and operational efficiency across the organization.
Responsibilities
- Design and implement scalable AI architectures, including:
- LLM-powered applications
- Retrieval-Augmented Generation (RAG) systems
- Agentic / multi-step workflows
- Vector search and retrieval services
- Model serving and inference layers
- Establish reusable platform services, APIs, and design patterns to accelerate delivery across multiple teams
- Define reference architectures and engineering standards for production AI systems
- Build and operationalize AI delivery pipelines:
- CI/CD for models, prompts, and workflows
- Prompt versioning and lifecycle management
- Evaluation and testing frameworks
- Model and artifact registries
- Implement monitoring for:
- Response quality and hallucination control
- Latency, throughput, and system reliability
- Cost observability and optimization
- Establish scalable experimentation and evaluation frameworks to measure AI performance and reliability
- Design AI systems with strong controls for:
- Data security and privacy
- Auditability and traceability
- Entitlements and access controls
- Data lineage and governance
- Partner with risk, compliance, and security teams to embed Responsible AI practices into development and deployment processes
- Ensure alignment with regulatory expectations and model risk management standards
- Lead delivery of production-grade AI systems with a focus on:
- Scalability and reliability
- Latency and performance optimization
- Operational readiness and support
- Evaluate and integrate third-party AI platforms and tools where appropriate
- Drive cost-effective architecture and FinOps practices for AI workloads
- Partner closely with data engineering and platform teams to integrate AI capabilities with:
- Snowflake and Databricks environments
- Structured and unstructured data pipelines
- APIs and enterprise data services
- Semantic and knowledge-layer architectures
- Enable seamless access to governed datasets for AI applications
- Serve as a technical leader and advisor to senior stakeholders across business and technology teams
- Translate business needs into scalable AI platform capabilities and solutions
- Lead and mentor a team of AI / ML engineers and technical leads
- Drive adoption of AI capabilities through enablement, best practices, and reusable frameworks
Skills
- Bachelor's degree in Computer Science, Engineering, or related field
- 10+ years of experience in software engineering, ML engineering, or platform engineering
- 3+ years in a leadership role driving complex engineering initiatives or leading teams
- Hands-on experience designing and deploying LLM-based applications
- Hands-on experience designing and deploying RAG systems
- Hands-on experience designing and deploying agentic AI workflows
- Hands-on experience designing and deploying vector databases / semantic search solutions
- Strong understanding of prompt engineering patterns and evaluation methodologies
- Experience with model serving, inference optimization, and production deployment
- Strong background in building scalable, production-grade systems with focus on reliability and observability
- Strong background in building scalable, production-grade systems with focus on latency and performance
- Strong background in building scalable, production-grade systems with focus on cost optimization
- Experience developing shared platforms or reusable services across multiple teams
- Experience implementing CI/CD pipelines for ML / AI systems
- Experience implementing model and artifact registries
- Experience implementing evaluation and regression pipelines
- Experience implementing monitoring and alerting frameworks
- Familiarity with prompt lifecycle management and AI system governance controls
- Strong experience with modern data / AI platforms, including Databricks and/or Snowflake
- Strong experience with APIs and microservices architectures
- Strong experience with unstructured data processing pipelines
- Strong experience with semantic layer or knowledge graph concepts
- Experience working in regulated environments with strong requirements for security and data privacy
- Experience working in regulated environments with strong requirements for governance and auditability
- Experience working in regulated environments with strong requirements for SDLC and change management processes
- Excellent communication and stakeholder management skills
- Ability to influence technical and non-technical audiences
- Strong problem-solving and strategic thinking capabilities
- Financial services or investment management experience strongly preferred
- Experience with Azure AI services, Copilot Studio, or similar enterprise AI tools
- Familiarity with investment management workflows (research, portfolio construction, risk, distribution)
- Experience building internal AI developer platforms or enablement frameworks
- Knowledge of FinOps practices for AI and data platforms
- Exposure to knowledge graphs, semantic layers, or enterprise search platforms
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
Company Overview
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