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Voya Financial/Curated role

Director, AI Engineering & Agentic Platform

New York, NY, 10 locationsFull-timePosted 35 days ago0 applicants
On-site$180,000 – $190,000
Accepting applications
$180,000 – $190,000/ year
Type
Full-time
Mode
On-site
Level
Open

About the role

We will stand up for and champion everyone’s access to opportunities. The status quo is not good enough … we believe every individual and every community deserves access to financial opportunities.

We are determined to support both individuals and communities in reaching a better financial future.  We know that reaching this future depends on our actions today. Like our Purpose Statement, Voya believes in being bold and committed to action.

We are committed to a work environment where the differences that we are born with — and those we acquire throughout our lives — are understood, valued and intentionally pursued. We believe that our employees own our culture and have a responsibility to foster an environment where we all feel comfortable bringing our whole selves to work. Purposefully bringing our differences together to positively influence our culture, serve our clients and enrich our communities is essential to our vision. Are you ready to join a company with a strong purpose and a winning culture? Start your Voyage –

Skills mentioned

in LLMOps and AI system architecture, platform thinking, and strong leadership in enterprise environments, particularly within the context of financial services where security, compliance, and trust are critical.
The Contributions You’ll Make AI Platform Architecture & Engineering 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.
Responsible AI, Governance, and Security 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.
Engineering Execution & Operational Excellence 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 Fin Ops practices for AI workloads.
Data Platform Integration 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.
Leadership & Stakeholder Management 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.
Minimum Knowledge and Experience Bachelor’s degree in Computer Science, Engineering, or related field.
10+ years of experience in software engineering, ML engineering, or platform engineering.

Benefits and perks

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
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