This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Affinity stitches together billions of data points from massive datasets to create a powerful, accurate representation of the world's professional relationship graph. Based on this data, we offer our users the insights and visibility they need to nurture and tap into the opportunities in their team's network. This role is part of the AI Platform team, which owns the AI services that power Affinity's industry-leading relationship intelligence platform. We extract and retrieve information from billions of structured and unstructured data points to deliver actionable insights to customers. As a Senior AI Engineer, you will collaborate with machine learning engineers, data engineers, software engineers, and product managers to shape the future of private capital's leading CRM platform. You will design and build LLM-powered AI systems that efficiently uncover insights from compelling business interaction data – an exciting and unique opportunity within the industry. - Build RAG systems: - Architect, prototype, and deploy RAG pipelines, combining vector search, hybrid retrieval, reranking and contextual compression techniques. - Build LLM powered agent systems: - Contribute to design and orchestration of multi-agent LLM systems using community frameworks and custom orchestration layers. - Solve complex problems: - Work on a variety of information extraction, information storage and information retrieval problems for both structured and unstructured data. - Collaborate cross-functionally: - Partner with cross-functional (product, infra, data engineering, and software engineering) to build robust, high-scale systems that underlie all of our data processing and ML Operations. Qualifications - 5+ years of experience in software engineering and/or Machine Learning experience in applying machine learning in production. - Hands on experience with LLM applications in production including prompt engineering and utilizing frameworks for online and offline evaluation. - Experience with LLM assisted search, such as query understanding and augmentation, text2sql, and entity extraction. - Experience with vector or graph databases. - Experience with document chunking, embedding models, and context window optimization. - Familiarity with metadata-based retrieval and re-ranking strategies. - Hands on experiences with model evaluation metrics (e.g. perplexity, hallucination rate, factual consistency). - Familiarity with data security, versioning, and MLOps principles. Requirements - Experience with enterprise AI applications with strict compliance, audit, or legal requirements. - Experience with dataset engineering, including data curation, augmentation, and synthesis, to assist ML model improvements. - Experience with multi-modal search. - Experience with graph based recommendation systems, such as graph NN. - Experience with developing AI applications powered by agent-based systems. - Experience with packaging, CI/CD and pipeline automation. Benefits - Health Benefits: We cover your medical, dental, and vision insurance premiums with comprehensive PPO, HDHP and HMO options (in CA), and offer flexible personal & sick days to support your well-being. - Retirement Planning: We offer a 401(k) plan to help you plan for your future. - Learning & Development: We provide an annual education budget and a comprehensive L&D program. - Wellness Support: We reimburse monthly for things like home internet, meals, and wellness memberships/equipment to support your overall health and happiness. - Team Connection: Virtual team-building activities and socials to keep our team connected, because building strong relationships is key to success. Company Description With more than 3,000 customers worldwide and backed by some of Silicon Valley's best firms, Affinity has raised $120M to empower dealmakers to find, manage, and close more deals. Our Relationship Intelligence platform uses the wealth of data exhaust from trillions of interactions between Investment Bankers, Venture Capitalists, Consultants, and other strategic dealmakers to deliver automated relationship insights that drive over 450,000 deals every month. We are proud to have received Inc. and Fortune Best Workplaces awards as well as to be Great Places to Work certified for the last 5 years running. Join us on our mission to make it possible for anyone to cultivate and fully harness their network to succeed.

Department: Technology Our Company Promise We are committed to provide our Employees a stable work environment with equal opportunity for learning and personal growth. Creativity and innovation are encouraged for improving the effectiveness of Southwest Airlines. Above all, Employees will be provided the same concern, respect, and caring attitude within the organization that they are expected to share externally with every Southwest Customer. Job Description: The AI Consultant supports business stakeholders and delivery Teams in shaping and delivering AI, ML, Generative AI, and Agentic AI solutions that address meaningful business needs. They’ll define product vision, scope, and roadmap, and translate business requirements into clear, actionable work for development Teams and coordinate execution across business and technology groups. They’ll support data science, machine learning, artificial intelligence, and optimization, leading the end‑to‑end lifecycle of AI products, from opportunity identification and scoping through valuation and delivery. The AI Consultant is a skilled communicator and collaborator ready to guide the development of reliable, scalable AI solutions that support Southwest’s innovation, efficiency, and long‑term strategic success. Additional Details - This DFW-based role is offered as a remote workplace position, which may require travel for trainings, meetings, conferences, etc. Outside of those required visits, the majority of your working time may be spent in an approved remote location within the DFW area. - U.S. citizenship or current authorization to work in the U.S. required and no current or future work authorization sponsorship available. We’re committed to fair hiring practices and to making employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, military or veteran status, disability, genetic information, or other legally protected characteristics. Responsibilities - Works on moderate to complex data science, machine learning, artificial intelligence, or optimization projects, working with the customer and collaborating with colleagues to understand contextual problems quickly and define, analyze, and deliver products based on business objectives with assistance from peers - Serves as the customer relationship lead on data science, machine learning, artificial intelligence, or optimization products and interacts with Business and Technology leaders across multiple and concurrent projects - Facilitates and drives collaborative sessions with key stakeholders to gather insights, solve complex challenges, and align on project goals and outcomes for data science, machine learning, artificial intelligence, or optimization solutions - Knowledgeable on data science, machine learning, traditional and generative artificial intelligence, or optimization delivery methodologies - Develops Executive-level communication (e.g. project status updates, presentations, etc.) - Synthesizes moderate amounts of detailed data and summarizes relevant information for the appropriate stakeholder - Prepares for and participates in Agile ceremonies to ensure alignment with SAFe principles - Collaborates with stakeholders to maintain a well-groomed backlog, ensuring stories are aligned with product goals and are ready for execution. Actively engages in prioritization discussions, responding to shifting business needs, evolving priorities, and changing team capacity - Must be able to meet any physical ability requirements listed on this description - May perform other job duties as directed by Employee's Leaders Knowledge, Skills and Abilities - Intermediate knowledge in both inductive and deductive reasoning, problem solving approaches and AI techniques including machine learning, traditional and generative artificial intelligence - Intermediate knowledge in evaluating analytic methods to propose the appropriate end-to-end product roadmap for business problems - Intermediate knowledge in leveraging value definition frameworks and methodologies to size, scope, and prioritize various data science, machine learning, artificial intelligence, or optimization initiatives - Skilled in leveraging enterprise communication tools to develop and deliver messaging of complex technical projects to appropriate stakeholders - Skilled in utilizing product management tools that align to SAFe principles to define the product roadmap and project plan used to ensure the project has the resources needed to complete tasks on time and ensures timely product delivery - Ability to build trust with all levels of Employees up to and including functional leaders and must have the ability to properly manage highly sensitive and confidential information - Ability to lead moderate to complex data science, machine learning, artificial intelligence, or optimization projects including acting as a leader in business stakeholder meetings, solution definition and planning, detailed task and deliverable definition and creation, and project schedule creation - Ability to communicate in an engaging way with strong verbal and written communication skills for technical and non-technical audiences up to and including cross-functional leaders - Ability to adjust to a variety of situations and changing approaches/methodology if necessary in order to effectively and successfully meet objectives Education - Required: High School Diploma or GED Experience - Advanced level experience, seasoned and specialized knowledge in: - Data analysis and advanced analytics - Consulting and management experience with data science, machine learning, or artificial intelligence projects - Visualization and presentation development and delivery - Solving ambiguous and complex problems through a systems thinking approach - Preferred: Experience delivering AI/ML or data‑driven product initiatives, including scoping, valuation, user story creation, and iterative delivery within Agile/SAFe environments. - Preferred: Experience in stakeholder facilitation, executive‑level communication, and translating complex technical topics into clear business language. - Preferred: Familiarity with AI delivery methodologies, value sizing frameworks, and enterprise data ecosystems - Preferred: Experience with tools that support product roadmapping, backlog management, and cross‑functional communication (e.i., Jira Align and Confluence) ​ Licensing/Certification - N/A Physical Abilities - Ability to perform work duties from [limited space work station/desk/office area] for extended periods of time - Ability to communicate and interact with others in the English language to meet the demands of the job - Ability to use a computer and other office productivity tools with sufficient speed and accuracy to meet the demands of the job Other Qualifications - Must maintain a well-groomed appearance per Company appearance standards as described in established guidelines - Must be a U.S. citizen or have authorization to work in the United States as defined by the Immigration Reform Act of 1986 - Must be at least 18 years of age - Must be able to comply with Company attendance standards as described in established guidelines - Must meet confidentiality expectations as to confidential, proprietary and sensitive Company information - Must be able to travel and /or attend Company and non-Company facilities and remote locations such as remote-based offices as necessary Pay & Benefits - Competitive market salary from $125,900 - $139,900 per year* depending on qualifications and experience. For eligible Leadership and individual contributor roles, additional bonus opportunities are available and awarded at the discretion of the company. Benefits you’ll love - Fly for free, as a privilege, on any open seat on all Southwest flights (your eligible dependents too) - Southwest will help fund your 401(k) retirement savings with Company contributions up to 9.3% of your eligible earnings** - Potential for annual ProfitSharing contribution in the Southwest Retirement Savings Plan- when Southwest profits, you profit*** - Competitive health insurance for you and your eligible dependents (including pets) - Southwest offers health plan coverage options that start from the very first day of employment. You will have 30 days to select and enroll in your health plan with coverage retroactively available to your first day of employment. - Explore more Benefits you’ll love: careers.southwestair.com/benefits *Pay amount does not guarantee employment for any particular period of time. Southwest Airlines is an Equal Opportunity Employer. Please print/save this job description because it won't be available after you apply. Job Posting End Date 03/24/2026

• Lead the design, development, and implementation of AI-driven software solutions using Azure AI Foundry, Azure OpenAI, and other Microsoft technologies. • Architect and develop multi-agent systems and advanced AI task orchestration/execution frameworks. • Design and integrate Graph Connectors, API Plugins, and Azure AI Search to support intelligent enterprise solutions. • Translate complex business requirements into scalable, secure technical architectures. • Act as the technical owner, ensuring the quality, performance, security, and maintainability of solutions. • Collaborate with cross-functional teams (engineering, product, UX, and business stakeholders) to deliver outcomes aligned with strategic objectives. • Establish and enforce development best practices, including code reviews, documentation, testing strategies, and technical standards. • Identify, diagnose, and resolve complex issues throughout the software development lifecycle. • Communicate clearly with technical and non-technical audiences, influencing decisions and driving alignment. • Mentor and support other engineers, contributing to the team’s technical maturity and continuous improvement.

Requisition Number: 2340830 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 togethe. We are seeking a highly skilled and innovative AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Pharmacy domain. The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Solid proficiency in Python and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras are essential. This role will involve close collaboration with Pharmacy Operations and Capability teams. On the Operations side, you'll engage directly with Pharmacists to understand and solve real-world challenges. On the Capability side, you'll work with Capability leaders to identify problem areas and co-design AI/ML solutions. You'll also contribute to broader initiatives in Pharmacy Modernization, aligning with organizational goals to leverage emerging AI technologies for reducing manual work, accelerating delivery, and improving Net Promoter Score (NPS). You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and deploy AI/ML models using GenAI technologies (LLMs, RAG, Agentic AI) - Utilize frameworks such as LangGraph, LangChain, TensorFlow, PyTorch, or Keras for model development - Build models that generate new data samples, patterns, or content based on existing inputs - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices with a focus on Python - Work Eastern Time Zone hours to support collaboration across a global team - Participate in on-call rotations as scheduled 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: - Bachelor's degree or equivalent experience in Computer Science, Data Science, or related field - 7+ years of industry or academic experience in AI/ML or Data Science - 4+ years of hands-on experience with Python and version control tools like GitHub - 4+ years of experience with deep learning frameworks (e.g., PyTorch, TensorFlow) - 3+ years of experience deploying AI/ML solutions in production environments - Experience with Git management and CI/CD best practices - Experience in designing high-level cloud architecture and solution designs for AI/ML solutions - Experience of AI/ML projects deployed in Production - Not a research focused role, but more of a AI/ML product development role. Preferred Qualifications: - Certifications in AI/ML or related technologies - Familiarity with cloud platforms (Azure, AWS, Google Cloud) - Knowledge of UAIS and MLRB *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.