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Voya Financial logo
Voya Financial

Well Planned, Well Invested, Well Protected®

AI Architect

AI EngineerMachine Learning EngineerOtherRemoteMid LevelTeam 5,001-10,000Since 1998H1B No SponsorCompany SiteLinkedIn

Location

Minnesota + 7 moreAll locations: Minnesota | New Jersey | Connecticut | Rhode Island | Massachusetts | New York | South Carolina | Georgia

Posted

116 days ago

Salary

$131.0K - $183.7K / year

Seniority

Mid Level

Job Description

AI Architect

Voya Financial

Together we fight for everyone’s opportunity for a better financial future. We will do this together — with customers, partners and colleagues. We will fight for others, not against: 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 – Apply Now Overview 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. Key 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. Required Qualifications Preferred Qualifications 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. Technical Leadership 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. Data, Integration & Platforms 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). Governance & Compliance 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. Operations & Optimization 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. Collaboration & Enablement 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. #LI-LW1 Compensation Pay Disclosure: Voya 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. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Voya Financial is willing to pay at the time of this posting. 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. $130,970 - $183,680 USD Be Well. Stay Well. 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. What We Offer 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 Learn more about Voya benefits (download PDF) Critical Skills At Voya, we have identified the following critical skills which are key to success in our culture: 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 our culture and execute on our common goals. Business Acumen : Appreciation and understanding of the financial services industry in order to make sound business decisions. Learning Agility : Openness to new ways of thinking and acquiring new skills to retain a competitive advantage. Learn more about Critical Skills Equal Employment Opportunity Voya Financial is an equal-opportunity employer. Voya Financial provides equal opportunity to qualified individuals regardless of race, color, sex, national origin, citizenship status, religion, age, disability, veteran status, creed, marital status, sexual orientation, gender identity, genetic information, or any other status protected by state or local law. Reasonable Accommodations Voya is committed to the inclusion of all qualified individuals. As part of this commitment, Voya will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please reference resources for applicants with disabilities. Misuse of Voya's name in fraud schemes

Job 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.

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