Valence has built the only first-to-market AI native coaching platform for enterprise, offering personalized, expert, and human-like guidance and support to any leader or employee. We’re not just talking about the future of work — we’re building it now, with the most innovative Fortune 500 companies across healthcare, financial services, manufacturing, and technology. Our focus is on the problems that actually decide whether AI changes how organizations operate — the ones with no playbook, no obvious answers, and no guarantee of success. If you want to be part of the small group that defines how AI transforms the future at a global scale, this is your chance. And this isn’t for everyone. We’re not looking for people who want predictability or incremental progress. We only want those who are restless at the edge of what’s possible, who get bored when things feel “done,” and who are driven to redefine what AI can mean for leaders, companies, and the world. Because at Valence, the work worth doing is the kind that redefines work itself. The Role As a founding Applied AI Engineer at Valence, you will help define and build the future of AI-powered leadership coaching , working directly with our Head of AI and cross-functional product and engineering teams. You’ll be at the intersection of generative AI research and product execution - helping design, build, and refine intelligent systems that deliver context-aware, personalized coaching at enterprise scale . This role is purposefully broad and adaptable: we don’t expect any one candidate to check every technical box, but we do look for engineers who are eager to learn, iterate rapidly, and contribute meaningfully across a range of challenges from model behavior to production systems. You’ll tackle real-world AI problems - from transforming enterprise data into actionable context, to optimizing conversational experiences, to shaping how AI engages with users in meaningful and responsible ways. Your work will directly impact how our platform performs in high-stakes enterprise deployments and how leaders around the world grow through AI-facilitated insights. About Valence We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing. We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb. Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry. What You'll Do Architect and build enterprise-grade AI and conversational systems that power coaching workflows and user experiences. Develop, evaluate, and refine LLM-based components - balancing performance, scalability, and reliability in real use cases. Integrate and manage diverse sources of structured and unstructured data to improve contextual understanding and output quality. Partner closely with product, engineering, and design to translate user needs into impactful technical solutions. Rapidly prototype and iterate on systems that span backend services, data pipelines, and frontend interactions as needed. Build tooling, tests, and automation to support reliable model deployment , observability, and continuous improvement. Help streamline data and science workflows, enabling fast experimentation and data-driven decisions. We recognize that not every candidate will have experience in every area above - we value growth potential, curiosity, and the ability to learn on the job. What We're Looking For Technical foundation: 3+ years of experience in software engineering, AI/ML, data-intensive systems, AI/ML development (ideally including a Master's or Ph.D. in Computer Science, ML, Data Science, or a related field). AI systems mindset: Familiarity with language systems (e.g., NLP, conversational interfaces, IR) and comfort reasoning about model behavior, context, and evaluation - both theoretical and practical knowledge. Data tooling & analysis: Experience with core data science tools such as NumPy, scikit-learn, Pandas, PySpark , plus SQL and common visualization tools (e.g., matplotlib, Seaborn, Plotly, or BI tools) to explore and communicate insights. Cloud & deployment experience: Comfortable developing and deploying services in cloud environments (AWS, GCP, Azure) and working with containerization/orchestration (Docker, Kubernetes). Engineering excellence: Strong software engineering skills, including writing maintainable code, debugging distributed systems, and collaborating in cross-functional teams. Growth orientation: Eagerness to tackle unfamiliar problems, learn new technologies, and contribute to shaping our platform and culture. Communication: Ability to explain technical ideas clearly and work effectively with both technical and non-technical stakeholders. Nice-to-have (but not required): experience with ML lifecycle tools (e.g., MLflow, Weights & Biases), familiarity with Cloud ML services, or past work building generative AI applications. What You'll Get Ownership & Rapid Growth Outsized missions from day one, with direct responsibility for company-defining projects Work alongside the executive team with transparency into strategy and decision-making Influence on direction through real-time customer feedback and market insights AI-First Operator Work directly with cutting-edge AI models and next-generation platforms Build expertise in enterprise AI implementation across Fortune 500 companies and multiple industries Establish yourself as a recognized leader among peers in shaping how AI transforms work at a global scale Compensation Competitive salary including base + bonuses Comprehensive health coverage (medical, dental, vision) from day one Generous PTO, company-wide R&R shutdowns, and paid parental leave Retirement plan support for US and global employees Equity Meaningful ownership in a venture-backed company at a growth inflection point Financial upside that comes from scaling fast Top-up grants as we scale and you deliver exceptional performance — your compensation grows alongside your impact Top-Performing Culture A culture built for top talent: intensity to win, growth without limits, and a team that solves hard problems and celebrates big wins together Learn more about us and meet our team here Location and Work Environment If candidates are based in NYC or Toronto they can work hybrid in our offices, otherwise this role can be remote. Candidates must be comfortable working with colleagues in different time zones (UK), and have valid travel documents without work authorization restrictions in the US. Diversity and Inclusion We are dedicated to creating a diverse and inclusive environment where everyone feels valued and supported. We encourage applications from candidates of all backgrounds and offer accommodations upon request throughout the hiring process. If you have any questions, please reach out to Allison Langille, Head of People, at jobs@valence.co. Employment Verification & Commitment We use third-party services to verify employment history, education, and other information relevant to your candidacy. Employment is contingent upon the successful completion of these verification checks. This is a full-time role that requires a high level of focus, availability, and commitment. Employees may not hold concurrent full-time employment with another organization while employed at Valence. Any outside consulting, advisory, freelance, or other professional work must be disclosed and approved in advance and must not interfere with job responsibilities, availability, performance, or create a conflict of interest - including risks related to confidentiality, intellectual property, or competition. #LI-HYBRID

Lyric is an AI-first, platform-based healthcare technology company, committed to simplifying the business of care by preventing inaccurate payments and reducing overall waste in the healthcare ecosystem, enabling more efficient use of resources to reduce the cost of care for payers, providers, and patients. Lyric, formerly ClaimsXten, is a market leader with 35 years of pre-pay editing expertise, dedicated teams, and top technology. Lyric is proud to be recognized as 2025 Best in KLAS for Pre-Payment Accuracy and Integrity and is HI-TRUST and SOC2 certified, and a recipient of the 2025 CandE Award for Candidate Experience. . Interested in shaping the future of healthcare with AI? Explore opportunities at lyric.ai/careers and drive innovation with #YouToThePowerOfAI. The Lead AI Engineer will drive the development of intelligent systems that extract and structure data from unstructured documents such as PDFs, scanned forms, and free-text content. This role will lead the design and deployment of advanced machine learning and generative AI solutions, with a particular emphasis on language models (SLM/LLMs) and their application to document understanding and data extraction at scale. ESSENTIAL JOB RESPONSIBILITIES & KEY PERFORMANCE OUTCOMES Lead the architecture, development, and deployment of AI/ML systems for document ingestion, understanding, and data extraction. Build and create good datasets and a system of good validation and verifications of data and ML systems. Build and fine-tune LLMs and generative AI models to interpret, summarize, and extract information from complex unstructured content. Develop NLP pipelines leveraging techniques such as OCR, entity recognition, text classification, summarization, and semantic parsing. Integrate LLMs with retrieval systems (RAG), vector databases, and structured outputs suitable for downstream consumption. Collaborate cross-functionally to align technical solutions with product requirements and compliance needs. REQUIRED QUALIFICATIONS Minimum of seven (7) years of experience in AI/ML engineering, with at least three (3) years in a technical or team leadership role Previous Technical Leadership in the AI/ML leadership space Hands-on experience building and deploying S/LLMs or generative AI applications (e.g., using Llama, Deepseek or similar frameworks) Proven track record of extracting structured data from unstructured document sources, including scanned forms, free-text reports, and complex layouts Strong software engineering skills in Python and ML frameworks (e.g., Kubeflow, PyTorch, multi-agentic frameworks) Experience with OCR technologies (e.g., Tesseract, Amazon Textract), NLP techniques, and model deployment in production environments Deep understanding of NLP methods including embeddings, transformers, named entity recognition (NER), and text classification Familiarity with MLOps, version control, CI/CD, and cloud platforms (AWS, GCP, or Azure) PREFERRED QUALIFICATIONS Experience implementing retrieval-augmented generation (RAG), prompt engineering, or fine-tuning foundation models Familiarity with vector databases (e.g., Postgres-pg-vector, Pinecone, FAISS, Weaviate) and semantic search Strong experience shipping production ML systems with a track record of monitoring and improving the ML systems Experience working in regulated domains such as healthcare, legal, or finance ***The US base salary range for this full-time position is: $211,551.00 - $317,326.00 The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. Please note that the compensation details listed in US role postings reflect the base salary only, and does not reflect the value of the total rewards compensation. *** Lyric is an Equal Opportunity Employer that strives to create an inclusive environment, empower employees and embrace collaborative success.

RevenueBase: - We're building the data infrastructure that makes AI agents trustworthy instead of error-prone. - We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows. - We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive. - We power AI agents for Clay, Zoominfo, Dun & Bradstreet, and the next generation of AI GTM tools. About the Role We are looking for a Senior Data & AI Platform Engineer to build internal tools and services on top of our large-scale data infrastructure. Your primary focus will be developing systems that leverage vector embeddings, LLM APIs, and semantic search to unlock value from structured and unstructured data. This is a hands-on engineering role for someone who enjoys building practical AI-powered tools — not just experiments — and shipping them into production in a fast-moving startup environment. What You’ll Do - Design and build data-driven tools that operate on large datasets stored in S3 and Snowflake - Implement pipelines that: - Extract specific columns or datasets from Snowflake - Generate vector embeddings via APIs such as OpenAI - Store and manage embeddings in vector databases like Pinecone - Enable semantic search and similarity-based retrieval - Develop enrichment workflows that: - Query structured data - Use LLM APIs to generate new derived columns - Write enriched results back into Snowflake - Build reusable internal services and SDKs around embedding generation, prompt orchestration, and data augmentation - Optimize performance and cost across AWS infrastructure - Work closely with product and data teams to turn use cases into scalable engineering solutions - Ensure reliability, observability, and maintainability of AI-powered pipelines Example Projects - Tool to extract a single Snowflake column, generate embeddings, push to Pinecone, and expose a semantic search API - Batch enrichment pipeline that queries records from Snowflake, calls OpenAI APIs for structured enrichment, and writes new columns back - Internal framework for LLM-based data transformation and validation - Query abstraction layer to make AI-enhanced analytics accessible to non-engineering teams Required Qualifications - 5+ years of software engineering experience - Strong backend engineering skills (Python preferred; other modern languages acceptable) - Solid experience with: - AWS (IAM, Lambda, ECS/EKS, S3, networking, security best practices) - Data warehousing (Snowflake preferred) - API design and distributed systems - Hands-on experience working with LLM APIs (e.g., OpenAI) and embedding workflows - Experience with vector databases (Pinecone or similar) - Strong understanding of data modeling, ETL/ELT patterns, and performance optimization - Production experience in at least one startup environment - Ability to operate independently and ship high-impact systems end-to-end Nice to Have - Experience building internal developer platforms or data tooling - Familiarity with prompt engineering and evaluation pipelines - Experience with orchestration frameworks (Airflow, Prefect, Dagster) - Exposure to retrieval-augmented generation (RAG) systems - Infrastructure-as-code experience (Terraform, CDK) - Experience managing large-scale embedding refresh and re-indexing workflows What Success Looks Like - Engineers and analysts can easily leverage AI-powered data enrichment - Embedding-based search works reliably at scale - New AI use cases can be implemented quickly using shared internal tooling - Systems are robust, observable, and cost-efficient Why Join Us? - Work on practical, production-grade AI systems - Direct impact on how data is leveraged across the company - Startup speed with real ownership and autonomy - Opportunity to define the internal AI platform from the ground up

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