This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is a hands-on, high-impact engineering position focused on building scalable AI and ML systems that drive automation, intelligence, and data-driven insights. You will work closely with technical and business leaders to design, deploy, and optimize AI architectures, models, and applications, including LLMs, vector databases, and intelligent agents. - Collaborate with leadership and the development team to design and deploy scalable AI/ML architectures and solutions. - Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms. - Experiment with emerging LLMs, embeddings, vector databases, and orchestration frameworks such as LangChain or Semantic Kernel. - Lead hands-on prototyping of LLM-based applications, intelligent agents, and automation workflows. - Establish AI architecture standards, model governance, and contribute to long-term AI strategy. - Design systems for high availability, scalability, and efficient cloud deployment on Azure, AWS, or GCP. - Create technical documentation, architecture diagrams, and deployment playbooks while participating in code reviews and mentoring junior developers. Qualifications - 5+ years of professional software development experience. - 3+ years of hands-on experience building or designing AI/ML systems. - Proficiency in Python, C#, or similar programming languages. - Experience with LLMs, vector databases, embeddings, and prompt orchestration. - Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel) and cloud platforms (Azure AI, AWS SageMaker, GCP Vertex AI). - Ability to develop and integrate data pipelines, APIs, and AI inference services. - Strong analytical, communication, and collaboration skills. - Capacity to balance hands-on development with high-level system design and strategic planning. - Curiosity and proactive engagement with emerging AI tools, frameworks, and trends. - Must reside in and be authorized to work in the USA. Benefits - Competitive compensation with a salary range of $120,000–$150,000 USD annually. - Comprehensive medical, dental, and vision benefits. - Paid vacation and sick days for work-life balance. - Flexible work options and straight day shifts with no weekends. - Career growth and development opportunities, including tuition reimbursement. - Company-provided equipment for remote or in-office work. - Participation in company events and celebrations. - Collaborative and diverse team environment.

AI Quality Lead Amazing Opportunity and Great Place to Work! Are you a fast learner who is fascinated by technology? Our Story At Alight, we believe a company’s success starts with its people. At our core, we Champion People, help our colleagues Grow with Purpose and true to our name we encourage colleagues to “Be Alight.” Our Values Champion People – be empathetic and help create a place where everyone belongs. Grow with purpose – be inspired by our higher calling of improving lives. Be Alight – act with integrity, be real and empower others. It’s why we’re so driven to connect passion with purpose. Alight helps clients gain a benefits advantage while building a healthy and financially secure workforce by unifying the benefits ecosystem across health, wealth, wellbeing, absence management and navigation. With a comprehensive total rewards package, continuing education and training, and tremendous potential with a growing global organization, Alight is the perfect place to put your passion to work. Join our team if you Champion People, want to Grow with Purpose through acting with integrity and if you embody the meaning of Be Alight. Learn more at careers.alight.com. “This role supports services provided to the federal government or federal government contractor and therefore requires US Citizenship. Proof of citizenship status will be required at time of hire.” About the Role As the AI Quality Lead for the Artificial Intelligence Center of Excellence (AI CoE), you will architect and drive the end-to-end AI Quality program from inception. This is a hands-on leadership role, requiring both strategic vision and technical depth to go from 0→1 in AI Quality at Alight. Responsibilities - Design and implement the unified AI Quality strategy and SOP, scaling controls by risk tier (Tier 1–3) - Define and own success metrics, risk tiering, acceptance criteria, and operating thresholds for AI solutions - Lead the development of golden/adversarial test suites (prompt injection, misuse, safety, bias, functional automation) - Oversee the creation and maintenance of schema-level UI/API tests, agent contracts, and observability instrumentation - Own the org-wide evaluation harnesses (e.g., promptfoo, TruLens, Ragas), CI gating, and red-team playbooks - Manage independent spot checks, factsheets, registry entries, and evidence for governance and audit - Collaborate with Product Owners, Developers, SRE/Observability, and Governance to ensure compliance and operational excellence - Drive continuous improvement in fairness, explainability, safety, security, and operational SLOs - Mentor and grow the AI Quality team, including onboarding and coaching junior engineers - Experience with LLM, RAG, agentic, or classic ML systems - Familiarity with test automation frameworks, CI/CD pipelines, and evaluation tools (promptfoo, TruLens, Ragas) - Knowledge of fairness, explainability, safety, and security standards (e.g., OWASP Top 10, MITRE ATLAS, Fairlearn, AIF360) - Experience with data integrity, lineage, and observability (OpenTelemetry, New Relic, OpenLineage) - Familiarity with AI infrastructure, orchestration, data integrity, deployments, and model registry practices - Knowledge of international standards and regulatory frameworks for Responsible AI Requirements - Experience leading or building quality engineering or testing programs (AI/ML experience is a plus, but not required) - Ability to design and implement test strategies, automation frameworks, and quality standards - Excellent communication and leadership skills; ability to work cross-functionally and influence stakeholders. - Experience with LLM, RAG, agentic, or classic ML systems - Familiarity with test automation frameworks, CI/CD pipelines, and evaluation tools (promptfoo, TruLens, Ragas) - Knowledge of fairness, explainability, safety, and security standards (e.g., OWASP Top 10, MITRE ATLAS, Fairlearn, AIF360) - Experience with data integrity, lineage, and observability (OpenTelemetry, New Relic, OpenLineage) - Familiarity with AI infrastructure, orchestration, data integrity, deployments, and model registry practices - Knowledge of international standards and regulatory frameworks for Responsible AI - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field, or equivalent experience Flexible Working So that you can be your best at work and home, we consider flexible working arrangements wherever possible. Alight has been a leader in the flexible workspace and “Top 100 Company for Remote Jobs” 5 years in a row. Benefits We offer programs and plans for a healthy mind, body, wallet and life because it’s important our benefits care for the whole person. Options include a variety of health coverage options, wellbeing and support programs, retirement, vacation and sick leave, maternity, paternity & adoption leave, continuing education and training as well as a number of voluntary benefit options. By applying for a position with Alight, you understand that, should you be made an offer, it will be contingent on your undergoing and successfully completing a background check consistent with Alight’s employment policies. Background checks may include some or all the following based on the nature of the position: SSN/SIN validation, education verification, employment verification, and criminal check, search against global sanctions and government watch lists, credit check, and/or drug test. You will be notified during the hiring process which checks are required by the position. Our commitment to Inclusion We celebrate differences and believe in fostering an environment where everyone feels valued, respected, and supported. We know that diverse teams are stronger, more innovative, and more successful. At Alight, we welcome and embrace all individuals, regardless of their background, and are dedicated to creating a culture that enables every employee to thrive. Join us in building a brighter, more inclusive future. As part of this commitment, Alight will ensure that people with disabilities are provided with reasonable accommodations for the hiring process. If reasonable accommodation is needed, please contact alightcareers@alight.com. Equal Opportunity Policy Statement Alight is an Equal Employment Opportunity employer and does not discriminate against anyone based on sex, race, color, religion, creed, national origin, ancestry, age, physical or mental disability, medical condition, pregnancy, marital or domestic partner status, citizenship, military or veteran status, sexual orientation, gender, gender identity or expression, genetic information, or any other legally protected characteristics or conduct covered by federal, state or local law. In addition, we take affirmative action to employ disabled persons, disabled veterans and other covered veterans. Alight provides reasonable accommodation to the known limitations of otherwise qualified employees and applicants for employment with disabilities and sincerely held religious beliefs, practices and observances, unless doing so would result in undue hardship. Applicants for employment may request reasonable accommodation/modification by contacting their recruiter. Authorization to work in the Employing Country Applicants for employment in the country in which they are applying (Employing Country) must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the Employing Country and with Alight. Note, this job description does not restrict management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. #LI-Remote P&T2026 We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization. Salary Pay Range Minimum : 125,000.00 USDMaximum : 180,000.00 USD Pay Transparency Statement: Alight considers a variety of factors in determining whether to extend an offer of employment and in setting the appropriate compensation level, including, but not limited to, a candidate’s experience, education, certification/credentials, market data, internal equity, and geography. Alight makes these decisions on an individualized, non-discriminatory basis. Bonus and/or incentive eligibility are determined by role and level. Alight also offers a comprehensive benefits package; for specific details on our benefits package, please visit: Wellbeing and Benefits Selector Page - Alight DISCLAIMER: Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units. Alight Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, pregnancy, childbirth or related medical condition, veteran, marital, parental, citizenship, or domestic partner status, or any other status protected by applicable national, federal, state or local law. Alight Solutions is committed to a diverse workforce and is an affirmative action employer.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a skilled Artificial Intelligence Engineer to join our team and contribute to enhancing our AI-driven Electronic Health Record (EHR) systems. This role focuses on developing and refining AI prompts to improve natural language processing (NLP) applications for healthcare workflows. Additionally, you will build applications that enhance user interactions with language-based data, ensuring seamless integration and effective utilization of AI capabilities within our healthcare solutions. - Develop and refine prompts to ensure optimal performance of Large Language Models (LLMs) in healthcare applications. - Experiment with various prompt strategies and assess their impact on model responses. - Collaborate with developers and domain experts to integrate LLM capabilities into WRS Health’s EHR platforms. - Ensure prompts support accurate, context-aware responses tailored to healthcare-specific needs. - Evaluate and analyze model outputs to identify inconsistencies or areas for improvement. - Collaborate with data scientists to fine-tune models using healthcare-specific datasets. - Work closely with healthcare professionals and cross-functional teams to ensure LLMs align with user needs. - Educate internal teams on prompt engineering best practices and AI applications in healthcare. - Document prompt engineering methodologies, experiments, and outcomes for future reference. - Regularly report progress, challenges, and insights to stakeholders. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Computational Linguistics, or a related field. - Proven experience with prompt engineering and fine-tuning Large Language Models (e.g., OpenAI GPT, Claude, Llama). - Hands-on experience in developing and deploying NLP models, particularly in the healthcare domain, is a plus. - Proven experience in developing and deploying machine learning models. - Strong programming skills in Python and other relevant languages. - Proficiency in Python and NLP libraries (e.g., Hugging Face, spaCy, NLTK). - Familiarity with APIs for interacting with LLMs and cloud platforms. - Knowledge with Lang Chain or other following LLM system building frameworks such as LlamaIndex, AgentGPT, Flowise, Tensorflow, GPT3 by OpenAI and others. - Background in Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). - Understanding of healthcare terminology and workflows is highly desirable. - Strong problem-solving and analytical abilities. - Excellent communication skills and the ability to work in cross-functional teams. - Detail-oriented with a focus on delivering high-quality solutions. Requirements - Location: Remote - Hours: Available during standard US business hours (9am-5pm EST or 8:30am-4:30pm EST) Company Description WRS Health delivers a fully integrated cloud-based EMR and practice management solutions to its clients. We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination, and billing.

Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy employees, which boosts productivity and dedication. On our team, you’ll have the support to excel at work and the resources to build a career you can be proud of. We’re out to transform transportation logistics through technology, and our multimillion-dollar commitment to IT underscores its importance to our vision. As an AI Engineer specializing in Generative AI products, you will design, develop, and deploy GenAI-powered applications that enhance supply chain operations. You will work at the intersection of AI research and engineering, transforming large language models and multimodal systems into scalable, production-ready tools that drive automation, decision-making, and customer experience across GXO’s logistics network. Pay, benefits and more. We are eager to attract the best, so we offer competitive compensation and a generous benefits package, including full health insurance (medical, dental and vision), 401(k), life insurance, disability and the opportunity to participate in a company incentive plan. What you’ll do on a typical day: - Design, develop, deploy, and maintain AI agents and software that enhance and support supply chain operations and technology. - Apply prompt engineering, Retrieval-Augmented Generation (RAG), LLM orchestration frameworks, MCP/function calling, evaluation techniques, and guardrails to optimize LLM integrations and build AI agents tailored to enterprise use cases. - Ensure software engineering, DevOps, and cybersecurity best practices in development and deployment, including CI/CD pipelines, source control, and secure coding standards. - Design and build, or collaborate with data engineering teams to develop, data models and pipelines that support and feed AI solutions, ensuring scalability, reliability, and data quality. - Develop AI agent software and integrations using Python, SQL, and frameworks such as Flask and FastAPI. - Build agile and portable AI solutions using containerization tools like Docker and Kubernetes. - Collaborate with business and product stakeholders to understand use cases and educate teams on AI capabilities. - Work closely with IT teams (infrastructure, InfoSec, data engineering) to define internal requirements and ensure seamless integration. - Communicate effectively with leadership to secure resources, address issues, and provide project updates. - Take ownership of projects end-to-end with minimal supervision. - Mentor junior engineers on best practices in AI and software development through pair programming, code reviews, and architectural guidance. - Stay current on emerging AI technologies and trends and contribute to the organization’s AI roadmap. At a minimum, you’ll need: - 3–5 years of experience in software engineering, AI/ML engineering, or data science, with at least 1 year focused on agentic AI development. - Hands-on experience with AI agent development frameworks (e.g., Google’s Agent Development Kit, OpenAI Agents SDK). - Knowledge of MCP and A2A protocols. - Strong proficiency in cloud environments (GCP preferred; AWS and Azure acceptable). - Expertise in Python, APIs, SQL, system design, DevOps/AIOps, and familiarity with JavaScript and frontend frameworks. - Experience in monitoring, troubleshooting, and optimizing deployed solutions. - Strong analytical and problem-solving skills. It’d be great if you also had: - Advanced degree in a relevant field. - Experience in advanced AI techniques, such as fine-tuning LLMs or developing custom AI algorithms. - Familiarity with logistics systems (e.g., WMS). - Experience with Snowflake and its ecosystem. - Hands-on experience with GCP Vertex AI Agent Builder. GXO is a leading provider of cutting-edge supply chain solutions to the most successful companies in the world. We help our customers manage their goods most efficiently using our technology and services. Our greatest strength is our global team – energetic, innovative people of all experience levels and talents who make GXO a great place to work. We are proud to be an Equal Opportunity/Affirmative Action employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. GXO adheres to CDC, OSHA and state and local requirements regarding COVID safety. All employees and visitors are expected to comply with GXO policies which are in place to safeguard our employees and customers. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. All employees may be required to perform duties outside of their normal responsibilities from time to time, as needed. Review GXO's candidate privacy statement here.