AI Architect
Listed on 2026-01-01
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
About The Role
We’re looking for a hands‑on AI Architect to lead the design and deployment of cutting‑edge AI solutions that drive operational efficiency and innovation across our organization. As our AI Champion
, you’ll work cross‑functionally to identify high‑impact opportunities, architect scalable GenAI and agentic workflows, and bring transformative AI capabilities to life. Finance industry experience is preferred but not required.
- Collaborate with business and technical stakeholders to translate real‑world challenges into AI‑powered solutions
- Architect and build GenAI chatbots and agentic workflows for automation, decision support, and customer engagement
- Design and implement embedding models and vector indexes for intelligent search and recommendation systems
- Set up and optimize Azure cloud infrastructure to support scalable GenAI and agentic AI pipelines
- Lead AI projects from ideation to production, ensuring alignment with business goals and measurable outcomes
- Communicate complex AI concepts to non‑technical stakeholders across departments
- Monitor and refine AI models to ensure accuracy, performance, and reliability
- Stay ahead of AI trends and tools to continuously evolve our capabilities
- Proven experience designing and building GenAI chatbots using LLMs and prompt engineering
- Hands‑on development of agentic workflows that integrate reasoning, planning, and tool use
- Strong understanding of embedding models, vector databases, and semantic search
- Experience with Azure AI services (OpenAI, Cognitive Services, Azure ML, etc.)
- Familiarity with AI Foundry, Snowflake, Databricks, and/or Ui Path
- Proficiency in Python and modern ML frameworks (Lang Chain, Hugging Face, PyTorch, etc.)
- Knowledge of MLOps, CI/CD pipelines, and model governance
- Bonus:
Experience applying AI to real‑world business operations or customer‑facing applications - Bonus:
Experience in financial services use cases like credit scoring, fraud detection, or portfolio optimization
- Shape the future of AI innovation
- Work with cutting‑edge tools and technologies
- Collaborate with a forward‑thinking team
- Make a measurable impact across the organization
Ready to architect the future with AI? Apply now or reach out to learn more.
Compensation Pay DisclosureVoya is committed to pay that’s fair and equitable, which means comparable pay for comparable roles and responsibilities. The below annual base salary range reflects the expected hiring range(s) for this position in the location(s) listed. In addition to base salary, Voya offers incentive opportunities (i.e., annual cash incentives, sales incentives, and/or long‑term incentives) based on the role to reward the achievement of annual performance objectives.
Actual compensation offered may vary from the posted salary range based upon the candidate’s geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Salaries for part‑time roles will be prorated based upon the agreed upon number of hours to be regularly worked. $180,000-$195,000
Voya provides the resources that can make a difference in your lives. To us, this means thriving physically, financially, socially and emotionally. Voya benefits are designed to help you do just that. That’s why we offer an array of plans, programs, tools and resources with one goal in mind:
To help you and your family be well and stay well.
- 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
- Customer Focused:
Passionate drive to delight our customers and offer unique solutions that deliver on their expectations. - Critical Thinking:
Thoughtful process of analyzing data and problem solving data to reach a well‑reasoned solution. - Team Mentality:
Partnering effectively to drive…
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