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

• Build and evolve core AI platform capabilities that enable teams to develop, run, and scale GenAI-powered applications across Samsara. • Design and implement shared execution patterns, APIs, and services that support multi-step AI workflows and system integrations. • Develop reliable, extensible backend systems that power AI-driven experiences used across the sales funnel and beyond. • Work hands-on across the stack, from backend services and execution infrastructure to integration with AI models and tooling. • Collaborate closely with AI engineers, data scientists, product partners, and sales operators to turn emerging AI use cases into production-ready platform capabilities.

• Lead efforts to improve Datadog’s public-facing MCP server, enabling intelligent agents to discover and interact with our services • Design and implement agentic tool surfaces tailored for evaluation and production use across a wide variety of AI agents • Build and maintain advanced evaluation pipelines for measuring agent performance on Datadog workflows (e.g., investigations, incident triage, metric queries) • Investigate and resolve failure cases by analyzing tool output, improving query parsing, and enhancing agent feedback mechanisms • Collaborate across Applied AI and internal teams to align on shared standards for tool integration and data access

• Spearhead AI initiatives within Notebooks, serving as the technical owner for the design, development, and deployment of ML/AI-driven features. • Shape the long-term technical direction and strategy for AI workflows within Notebooks and related products. • Champion the full development cycle: from rapid prototyping and defining success metrics/evaluations to running experiments, iterating, and achieving production-ready scale and reliability. • Drive product direction with a strong user focus, always advocating for the best end-user experience. • Coordinate with other leaders and product teams interested in leveraging Notebooks in their AI-powered workflows. • Develop robust agent systems, including tools, retrieval and planning strategies, guardrails, prompt management/evaluations, fallbacks, and human-in-the-loop processes. • Stay up to date with industry trends, guiding the adoption of new technologies and evolving best-practices.