• Lead the design and implementation of AI architectures, frameworks, and reusable patterns that support scalable, production-ready AI systems. • Serve as the technical authority for AI initiatives, helping teams make sound decisions around model selection, infrastructure, security, and performance. • Design, build, and maintain AI-powered services and applications using Python and modern AI/LLM tooling. • Integrate and operationalize large language models and AI services, including Anthropic, within real-world production environments. • Architect and deploy AI workloads on AWS, including model hosting, inference pipelines, monitoring, and cost optimization. • Collaborate with product, engineering, and client stakeholders to translate business problems into effective AI solutions. • Establish best practices for AI development, including prompt design, evaluation, testing, observability, and responsible AI usage. • Mentor and guide engineers working with AI technologies, raising the overall AI maturity of the organization. • Stay current with emerging AI tools, frameworks, and industry trends, and proactively recommend improvements and innovations.

At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being 1/5th the cost of AWS S3, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity. Sr. Enterprise AI Engineer United States of America At Wasabi, we’re a proven collection of pioneers, visionaries and disruptive doers. We see things differently than our competitors, and we make our mark in the industry by challenging the norm and delivering the unexpected and improbable. We’re a fast-growing company taking the Cloud Storage industry by storm and recognized as one of the best places to work in Boston. Wasabi hot cloud storage is a new class and category of cloud storage, breaking all traditional barriers and boundaries of storage with a disruptive value proposition of being dramatically lower cost than legacy hyperscalers, faster than the competition, with no fees for egress or API requests. Cloud storage has never been so simple, so fast and so inexpensive. It’s all part of our vision to make cloud storage the next great global utility, just like electricity. Role Description: Enterprise AI Engineer . *Principals only. No recruiters. Role Purpose: Wasabi is seeking an AI Engineer to help build and scale our Enterprise AI Platform. This platform will be the foundation that enables AI assistants, agents, and AI-powered applications across Wasabi’s business functions. In this role, you’ll be a hands-on engineer who can translate business needs into concrete AI solution designs, implement core platform and application components, and drive solutions into production with measurable impact. You’ll operate at the intersection of AI innovation, software engineering, and business operations. You will partner closely with stakeholders across Sales, Marketing, Finance, HR, Legal, Customer Support, and IT to deliver secure, reliable, and scalable AI capabilities that elevate productivity and decision-making across the company. Responsibilities: - - Design and implement AI-powered solutions (assistants, agents, and apps) that solve business problems across enterprise functions. - Build platform capabilities for modern AI workloads, including retrieval-augmented generation (RAG), agent orchestration, evaluation, and production inference services. - Implement scalable services that support low-latency, high-throughput AI applications, while meeting reliability, security, and cost objectives. - Develop reusable patterns, libraries, and best practices that enable teams to safely and efficiently build on the Enterprise AI Platform. - Support rapid experimentation (POCs), evaluate emerging AI tools/frameworks, and help evolve platform architecture to incorporate successful innovations into production. - Contribute to MLOps pipelines (training, fine-tuning, versioning, deployment, monitoring, drift detection) to streamline the model lifecycle. - Help define and implement automated testing strategies for AI solutions (quality, safety, regression, hallucination checks, latency, and robustness). - Partner with Data/Analytics, Security, IT, and Engineering teams to ensure strong data governance, privacy protections, and responsible AI practices. - Contribute to team engineering excellence through code reviews, documentation, and knowledge-sharing. Requirements: - - 5+ years of experience in software engineering or applied AI/ML engineering, with experience building production services. - Demonstrated ability to design and deliver AI/ML-powered applications and/or platform capabilities in real-world environments. - Solid understanding of core AI concepts and modern Generative AI patterns (RAG, prompt engineering, evaluation, agentic workflows). - Experience with the AI lifecycle: data pipelines, training/fine-tuning (where applicable), evaluation, deployment, and monitoring. - Proficiency in one or more of: Python, Go, Java, or similar languages with strong fundamentals in APIs, reliability, observability, and performance. - Experience with modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX) and cloud AI/ML platforms (AWS, GCP, Azure). - Strong communication skills and the ability to work effectively with technical and non-technical stakeholders. Nice to have: - - BS in CS/ML or related field, or equivalent practical experience. - Experience with security and privacy controls for AI systems (PII handling, access control, guardrails, auditability). - Experience working with distributed systems and large-scale data platforms. Base Salary – $160,000 - $200,000 The base salary range reflects the full range for this position at Wasabi Technologies. At Wasabi, we believe in paying fairly and competitively, and individual compensation is determined based on factors such as job-related experience, skills, location, and internal equity. Base pay is just one part of our total rewards approach. Depending on role eligibility, Wasabi team members may also receive additional compensation and benefits, including bonus or variable compensation, equity, and a comprehensive benefits package designed to support both professional growth and personal well-being. Wasabi Technologies is an Equal Opportunity Employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

The AI Solutions Engineer is the primary builder, architect, and technical steward of the organization's internal AI capabilities. This role is responsible for the design, development, and operationalization of robust, scalable AI-powered tools and integrations that solve specific business problems. Their mission is to translate high-level business needs and identified opportunities into tangible, working technology. The primary objective is to build and maintain the technical infrastructure that enables the organization's AI adoption strategy. Key Responsibilities: This role is responsible for the full technical lifecycle of AI-driven solutions, from initial prototype to production deployment and maintenance. Platform Assessment & Implementation · Leverage first, build second: Prioritize the use of AI capabilities already available within FINN Partners’ tech stack to automate workflows and boost productivity. · Assess, evaluate, and implement a standard agentic AI platform to serve as the foundational technology for enterprise-wide solutions, ensuring our internal AI stack remains modern, efficient, and aligned with industry best practices. Internal Tool Development & Prototyping · Design, build and maintain supplementary internal tools, integrations and micro‑services when native capabilities do not fully address identified pain‑points or scalability requirements. · Rapidly prototype lightweight AI‑enabled utilities, validate business value, and promote successful pilots into robust production services. · Oversee architectural and technology choices made by AI systems by reviewing model selection, libraries and frameworks, and debug complex multi‑service environments when needed. System Architecture & Technical Oversight · Oversee architectural and technology choices for all internal AI systems by reviewing model selection, libraries, and frameworks. · The Solutions Engineer is also responsible for debugging multi-service environments when needed. Hands-On Prompt Engineering & Solutioning · Provide expert guidance on crafting effective prompts and interaction patterns for generative models (Gemini, ChatGPT, Claude, etc.). · Assist teams with data preparation, fine‑tuning and evaluation to maximise solution accuracy, safety and reliability. Required Skills & Qualifications Technical Expertise · A solid understanding of machine learning techniques and algorithms. · Strong proficiency in applicable programming languages · Experience with AI frameworks and libraries Platform & Systems Knowledge · Practical experience with generative AI APIs and evaluation methods. · Strong familiarity with cloud platforms like Azure, GCP, or AWS and their respective AI/ML services. The ability to design and implement scalable and robust AI systems is a core requirement. · Familiarity and experience with setting up and leveraging MCP servers to power AI driven actions Problem-Solving Strong analytical thinking and problem-solving capabilities are essential for navigating complex technical challenges and translating business needs into technical requirements. Work Experience A degree in Computer Science, Artificial Intelligence, or a related field is typically required, along with significant hands-on experience in a similar role. Why Join Us? ● Be at the forefront of AI innovation and directly impact how our entire organization leverages this transformative technology. ● Work in a collaborative and supportive environment where your contributions are highly valued. ● Opportunity for continuous learning and professional development in a rapidly evolving field. ● Shape the future of AI adoption and empower 1300+ employees to achieve their full potential. Anticipated Salary: $90K to $100K.; salary commensurate with experience and depending upon workplace. Please upload your resume and cover letter, as well as indicate your desired salary in $US Dollars. While we appreciate the interest of all candidates, we will only respond to those with whom we have a greater interest. #LI-DS1 #LI-remote About FINN Partners: Founded in 2011 on the core principles of innovation and collaborative partnership, FINN Partners has grown from about $24 million in fees to nearly $200 million in fees over ten years, becoming one of the fastest growing independent public relations agencies in the world. The full-service marketing and communications company's record setting pace is a result of organic growth and integrating new companies and new people into the FINN world through a common philosophy. With more than 1,300 professionals across 35 offices, FINN provides clients with global access and capabilities in the Americas, Europe and Asia. FINN Partners clients are also supported through longstanding partner agencies and its membership in the PROI network of leading agencies around the world. Headquartered in New York, FINN has offices in: Abu Dhabi, Atlanta, Bangalore, Bangkok, Beijing, Boston, Chicago, Delhi, Denver, Detroit, Dublin, Fort Lauderdale, Frankfurt, Hong Kong, Honolulu, Jerusalem, Kuala Lumpur, London, Los Angeles, Madison, Manila, Mumbai, Munich, Nashville, Orange County, Paris, Portland, San Diego, San Francisco, Seattle, Shanghai, Singapore, Washington D.C. and Yangon.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. The Optum Technology Digital team is on a mission to disrupt the healthcare industry, transforming UHG into an industry-leading Consumer brand. We deliver hyper-personalized digital solutions that empower direct-to-consumer, digital-first experiences, educating, guiding, and empowering consumers to access the right care at the right time. Our mission is to revolutionize healthcare for patients and providers by delivering cutting-edge, personalized and conversational digital solutions. We’re Consumer Obsessed, ensuring they receive exceptional support throughout their healthcare journeys. As we drive this transformation, we're revolutionizing customer interactions with the healthcare system, leveraging AI, cloud computing, and other disruptive technologies to tackle complex challenges. Serving UnitedHealth Group's digital technology needs, the Consumer Engineering team impacts millions of lives through UnitedHealthcare & Optum. The Optum Technology Chief Digital Office (CDO) Leadership team is transforming Optum to be an industry-leading Consumer brand. We are on a journey towards delivering a best-in-the-industry consumer experience to our patients and providers by delivering personalized digital solutions that support our consumers throughout their healthcare journeys. This team is transforming to meet the moment – to begin radically altering the way our customers engage with the healthcare system using modern tech to solve some of the most complex problems experienced along the way. Serving all of UnitedHealth Group’s digital technology needs, the CDO team is responsible for driving outcomes across nearly 30 million+ human lives with UnitedHealthcare insurance, a number which puts UHC at the top of the pack as the largest managed care provider in the United States. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: - Design, develop, and productionize machine learning and generative AI solutions supporting HealthSafe use cases, including conversational AI, clinical/administrative decision support, and longitudinal health data experiences - Build and maintain end to end ML pipelines (data ingestion, feature engineering, training, evaluation, deployment, and monitoring) in cloud native environments - Develop scalable inference services and APIs to integrate ML models into HealthSafe platforms and downstream consumer or provider applications - Apply NLP, LLMs, embeddings, and deep learning techniques to enable intelligent health data retrieval, summarization, and conversational workflows - Collaborate closely with product, engineering, data, clinical, and security stakeholders to translate HealthSafe requirements into robust AI/ML solutions - Ensure model reliability, performance, explainability, and safety, especially for regulated, member impacting healthcare workflows - Implement Responsible AI (RAI) practices, including bias evaluation, data privacy safeguards, auditability, and governance aligned with enterprise standards - Optimize models and pipelines for cost, latency, and scale in high volume, production healthcare systems - Mentor junior engineers and contribute to AI/ML engineering standards, best practices, and reusable frameworks across HealthSafe teams You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - BS with 5+ years of experience or MS and 3+ years in Computer Science or related field - 3+ years of hands on experience designing and delivering production grade AI/ML systems in enterprise environments - Experience building NLP and LLM powered systems, including embeddings, semantic search, intent classification, and text summarization - Hands on experience deploying models using cloud platforms and MLOps practices (CI/CD, monitoring, model versioning) - Solid foundation in machine learning, statistics, probability, optimization, and experimental design Preferred Qualifications: - Experience contributing to or leading cross functional AI initiatives in large, distributed teams - Familiarity with healthcare data standards and ecosystems (e.g., FHIR, longitudinal health records, identity and consent flows) - Demonstrated ability to work on regulated, safety critical systems, balancing innovation with reliability, privacy, and compliance - Demonstrated solid communication skills with the ability to explain complex AI/ML concepts to non technical stakeholders *All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you’ll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone–of every race, gender, sexuality, age, location and income–deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes — an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.