Role Description We’re looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD’s AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team responsible for delivering AI-assisted engineering capabilities, agentic workflow automation, and SDLC automation that meaningfully improve developer productivity and software delivery across the Productivity Solutions Division. You will own the selection, integration, governance, and adoption of AI-enabled engineering tools and automation within developer workflows, partnering across DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to scale safe, reliable, and measurable AI-enabled software delivery practices. Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual toil, increase consistency across the SDLC, and help teams adopt AI-enabled practices safely, reliably, and at scale. What You’ll Do - Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling. - Define team priorities, resource needs, operating cadence, performance expectations, and execution plans. - Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement. - Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift. - Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services. - Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows. - Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices. - Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy. - Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans. - Resolve conflicting priorities across engineering productivity, security, reliability, cost, and responsible AI adoption. - Define and track success measures for AI-enabled engineering automation, including productivity, adoption, toil reduction, quality, reliability, and developer experience. Qualifications - Typically 5+ years of experience formally or informally leading people, projects, and/or programs. - Bachelor’s or Master’s degree or equivalent experience. - Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation. - Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments. - Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes. - Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation. - Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns. - Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns. - Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations. - Experience driving adoption, enablement, and behavior change across distributed engineering teams. - Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use. - Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions. Additional Details - This job has a full time weekly schedule. - It includes the option to work remotely. - Applications for this job will be accepted until at least July 1, 2026 or until the job is no longer posted. - The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus eligibility for bonus, stock and benefits.

Role Description We're looking for a Senior AI Engineer to join a new AI Engineering team building foundational AI capabilities for mental healthcare at Talkiatry. You'll work across the AI lifecycle — from prototyping to production rollout, observability, and continuous improvement — building backend APIs, frontend interfaces, orchestration services, and internal tools that make AI useful, trustworthy, and actionable. You'll collaborate with senior engineers, product, clinical stakeholders, and data teams where your work directly impacts how AI is safely deployed in healthcare. This role is ideal for engineers with early LLM/agentic AI experience who want to deepen their skills on real production systems and grow into ownership of AI capabilities over time. - Full-Stack AI Development: Build frontend interfaces, backend services, APIs, integrations, and data flows that make AI capabilities usable in patient, clinician, and internal workflows. - Agentic AI Systems: Build and iterate on agentic systems that use reasoning, tool use, retrieval, memory, and multi-step workflows to solve healthcare problems. - RAG & Knowledge Systems: Build and maintain RAG pipelines, ingestion workflows, retrieval tuning, semantic search, and knowledge quality improvements. - Evaluation & Quality: Implement evaluation frameworks, automated tests, experiments, regression checks, and quality metrics to improve AI system performance over time. - Safety, Guardrails & Observability: Implement guardrails, fallback flows, human-in-the-loop workflows, access controls, tracing, monitoring, and diagnostics for production AI systems. - Production Delivery: Contribute to reliable production rollouts, CI/CD workflows, debugging, incident response, performance improvements, and operational efficiency. - Cross-Functional Collaboration: Work with senior engineers, product, clinical, design, and data partners to translate real workflows into safe, reliable AI-powered experiences. Qualifications - 2+ years of software engineering experience, including building, testing, and maintaining production software systems. - 1+ year of experience building with LLMs, agentic AI, or production AI systems, ideally beyond simple chatbot or prompt-only use cases. - Strong programming skills in Python and/or TypeScript, with experience building backend services, APIs, integrations, data flows, or full-stack product features. - Experience with modern frontend or full-stack development using technologies such as React, Next.js, TypeScript, Node.js, or similar frameworks. - Experience contributing to AI systems involving retrieval, tool use, workflow orchestration, structured outputs, context management, or multi-step execution. - Familiarity with agentic frameworks and orchestration tools such as LangGraph, CrewAI, OpenAI Agents SDK, or similar frameworks. - Familiarity with RAG systems, vector databases, semantic search, retrieval infrastructure, model serving, or knowledge pipelines. - Familiarity with cloud-native development, containerized services, Kubernetes, CI/CD workflows, or scalable production environments. - Strong debugging, communication, and collaboration skills, with the ability to work through ambiguity and make steady progress with guidance from senior engineers. Requirements - Nice to have: Experience building AI systems in healthcare, clinical, safety-critical, or other regulated environments. - Familiarity with HIPAA, clinical AI safety, FDA AI/ML guidance, or compliance-aware software development. - Experience using tests, evaluation methods, quality metrics, experiments, observability, or release checks to improve system reliability and performance. Benefits - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care. - Collaborative environment: be part of building something from the ground up at a fast-paced startup. - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands. - It all comes back to care: we’re a mental health company, and we put our team’s well-being first.

Role Description The AI Engineer plays a critical role in accelerating Voya’s AI transformation—building scalable, production-grade AI solutions that enhance customer experience, improve operational efficiency, and unlock new business value. This role connects data, engineering, and business outcomes—bringing AI from concept to impact. Primary Purpose: - Design, build, and deploy AI/ML and generative AI solutions that power digital experiences, automate workflows, and enable smarter decision-making across Voya’s retirement, wealth, and employee benefits businesses. What You’ll Do: - Build & Deploy AI Solutions: - Design, develop, and deploy machine learning and generative AI models (LLMs, NLP, predictive models) into production environments. - Build scalable APIs, pipelines, and microservices to support AI-powered applications. - Implement retrieval-augmented generation (RAG), agent-based systems, and model orchestration frameworks. - Partner Across the Enterprise: - Collaborate with Product, Data, and Business teams to identify high-impact AI use cases. - Translate business needs into technical solutions with measurable outcomes. - Partner with Risk, Compliance, and Legal to ensure responsible AI practices and regulatory alignment. - Drive Engineering Excellence: - Establish best practices for model development, testing, monitoring, and performance optimization. - Ensure high standards for code quality, scalability, security, and reliability. - Contribute to modern engineering practices (DevOps, MLOps, CI/CD pipelines). - Advance AI Capability: - Stay current with emerging AI/ML technologies and apply them pragmatically. - Evaluate and implement new tools, frameworks, and platforms (LLMs, vector DBs, orchestration tools). - Contribute to Voya’s AI strategy and long-term technology roadmap. Qualifications - 5–10+ years in software engineering, data engineering, or AI/ML development. - Hands-on experience building and deploying AI/ML models in production environments. - Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.). - Experience with LLMs, prompt engineering, and/or RAG architectures preferred. - Familiarity with cloud platforms (AWS, Azure, GCP) and modern data ecosystems. - Experience operating in regulated or data-sensitive environments (financial services preferred). Requirements - Ability to balance experimentation with disciplined execution in production environments. - Strong problem-solving mindset with a focus on measurable business outcomes. - Comfort working across technical and non-technical stakeholders. - Bias for action with a builder mindset—delivering, not just designing. 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.

Role Description Wolters Kluwer Tax & Accounting team is looking for a Principal Software Engineer to build the next generation of AI-powered capabilities for our cloud audit solutions. You will build AI-powered audit solutions that help professionals analyze complex documents, interpret rules, detect exceptions, and generate explainable findings. Our team operates with close collaboration between engineers, product managers, UX designers, and researchers. We work in fast feedback cycles, obsess over customer value, and blur traditional role boundaries to focus on solving the right problems. We practice Agile and XP methodologies with weekly sprints, BDD/TDD practices, and pair programming with daily rotation to support high team cohesion and knowledge sharing. This role is ideal for a Principal Engineer with strong experience building AI agents, document intelligence systems, and production-grade AI workflows. Key Responsibilities - Build AI Agent Systems: - Design and implement task-focused AI agents that assist thousands of professionals' audit work. - Build document understanding and structured-data extraction systems. - Lead production-grade AI services and ship working capabilities quickly, iterating with Product & customer teams. - Cross-Portfolio Innovation: - Work across TAA's product portfolio, enabling other teams while building AI solutions applicable to multiple products and customer segments. - Technical Leadership: - Design and implement AI features using Python and modern frameworks. - Build intelligent document processing, automated workflows, and AI-powered analytics with a focus on security, product experience, and scalability. - Close Collaboration: - Work in Audit’s collaborative model where engineers understand business problems as deeply as technical solutions, partnering closely with product managers who prototype their own ideas. Qualifications - Bachelor Degree in Computer Science or Equivalent - 9+ years building software applications (experience with Python, Java or C++) - 3+ years hands-on experience with LLMs or AI systems (NLP preferred) - Full-stack development capabilities - Experience with Agile/XP practices including TDD/BDD and pair programming - Proficiency with AI coding tools (GitHub Copilot, Cursor, or similar) - Regular use of GenAI utilities (ChatGPT, Claude, etc.) for development workflow Requirements - 6+ years leading complex technical projects from inception to delivery - Experience working in startup-like environments or innovation teams - Comfort working in collaborative, fast-paced Agile environments with weekly sprints and blurred (but aligned) role boundaries - Working knowledge of AI/ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI APIs) - Experience with vector databases and embeddings - Understanding of prompt engineering and AI optimization - Ability to explain technical concepts to non-technical stakeholders and drive adoption of new technologies across teams. Preferred Qualifications - Microsoft Azure AI-102 certification is highly desired or able to get certified in first 30 days - Experience with Azure AI services, Azure AI Document Intelligence, advanced AI frameworks, or multi-modal AI systems - Background in dynamic environments like startups, innovation teams, or product-focused companies that prioritize customer co-design and rapid value delivery - Experience with document processing, financial data analysis, or B2B professional software - Experience with MLOps, AI governance, or cross-portfolio AI implementations, particularly in regulated/compliance-driven environments Compensation $173,500.00 - $310,000.00 USD. This role is eligible for Bonus. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience, and actual hiring location. Benefits - Medical, Dental, & Vision Plans - 401(k) - FSA/HSA - Commuter Benefits - Tuition Assistance Plan - Vacation and Sick Time - Paid Parental Leave