{"id":1041198,"url":"https://alion.io/job/skechers-sr-engineer-genai","title":"Sr. Engineer - GenAi","company":{"id":715105,"name":"Skechers","domain":"skechers.com","url":"https://alion.io/company/skechers-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":76,"open_postings":457,"ghost_share":0,"stale_share":0.943,"repost_share":0,"time_to_fill_p50_days":29,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manhattan Beach, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":160000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Strands Agents","optional":false},{"name":"Claude","optional":false},{"name":"Confluence","optional":false},{"name":"FastAPI","optional":false},{"name":"GDPR","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"Node JS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React Native","optional":false},{"name":"Redis","optional":false},{"name":"SQL","optional":false},{"name":"Stable Diffusion","optional":false},{"name":"Vue.js","optional":false},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"AWS Fargate","optional":true},{"name":"Docker","optional":true},{"name":"Git","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Jenkins","optional":true},{"name":"Kubernetes","optional":true},{"name":"Machine Learning","optional":true},{"name":"Postman","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"React.js","optional":true},{"name":"Rest API","optional":true},{"name":"Terraform","optional":true},{"name":"WebSockets","optional":true}],"status":"live","first_seen_at":"2026-09-18T19:17:30Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-11-04T07:06:32Z","board_verified":true,"closed_at":null,"days_open":46,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":46},"description":"WHO WE ARE:Headquartered in Southern California, Skechers-the Comfort Technology Company®-has spent over 30 years helping men, women, and kids everywhere look and feel good. Comfort innovation is at the core of everything we do, driving the development of stylish, high-quality products at a great value. From our diverse footwear collections to our expanding range of apparel and accessories, Skechers is a complete lifestyle brand.\nABOUT THE ROLE:\nSkechers IT division is transforming our engineering practice by embracing high-performing, cloud native APIs and applications using a modern technology stack that includes serverless, microservices, containers, Boomi iPaaS, QA, and zero-touch delivery pipelines. Additionally, Skechers is enabling our business with AI through the development and adoption of private, proprietary AI technologies. The Senior Generative AI Engineer is a key role within the Software Engineering and Architecture organization and will be central to continually developing and improving our Generative AI platform and technologies within Skechers.\nThe Senior GenAI (GenerativeAI) Engineer will help spearhead the development of Skechers’ proprietary Generative AI tools. This role is at the forefront of enhancing our private GenAI platform and Large Language Models (LLM) and is pivotal in enabling future GenAI use cases within our platform. The Senior GenAI Engineer will collaborate and work with high-velocity software engineering teams and coordinate across various departments to bring our GenAI capabilities to new heights. The candidate should be an experienced and motivated technologist who possesses a unique balance of technical depth and strong interpersonal skills.\nWHAT YOU'LL DO:\nHelp lead the design, development, and deployment of Skechers’ Generative AI tools, including privately instanced LLMs, our private GenAI platform, and GenAI use cases.\n\nCoordinate with cross-functional teams including security, UI/UX, data integration, architecture, and several business units to integrate and refine our AI solutions.\n\nDevelop and maintain scalable AI pipelines using AWS services such as Bedrock, AgentCore, Lambda, EC2, and S3.\n\nUtilize Amazon Web Services (AWS), Claude LLM, Stable Diffusion, keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant practices in daily tasks.\n\nMake use of Python and FastAPI for backend services along side Node.JS for microservices\n\nDevelop in React.JS and React Native for frontend applications (web and mobile)\n\nDevelop and deploy chatbots, business-focused use cases, and additional GenAI tools, ensuring robust, functional, scalable, secure, and user-friendly solutions.\n\nStay up to date with the latest advancements in generative AI and apply them to solve business problems.\n\nImplement leading practices in AI model training, testing, and validation.\n\nExecute against the product backlog efficiently, ensuring quick resolution of issues and leading practices in development and deployment.\n\nAssist with QA to ensure all user test cases are defined and tested.\n\nWHAT YOU'LL BRING:\nProficiency in AWS services, including but not limited to Bedrock, AgentCore, Lambda, EC2, and S3.\n\nStrong command of generative AI models, including but not limited to Claude LLM, Stable Diffusion, Amazon Nova\n\nStrong command of keyword vector search, retrieval augmented generation (RAG), and GDPR-compliant data handling.\n\nStrong programming skills in Python and familiarity with AI frameworks such as LangChain and the Strands SDK.\n\nComfort in using frontend JavaScript Frameworks for UI (i.e. React or React Native - other frameworks like Vue.JS are acceptable)\n\nExperience with agile methodologies and tools, specifically JIRA by Confluence.\n\nStrong problem-solving skills, attention to detail, and the ability to coordinate across multiple teams.\n\nProficient in using SQL and NoSQL databases such as MySQL and CloudantDB or MongoDB, Redis is a plus\n\nProficient in using software developing tool including Git, Jenkins and Postman\n\nStrong interpersonal and communication skills and able to mentor junior engineers\n\nStrong analytical and problem-solving skills, an independent worker with high degree of self-motivation\n\nExperience with Docker and container orchestration systems such as AWS ECS/EKS/Fargate is desired (but not a hard requirement)\n\nExposure to writing Terraform and setting up GitHub Actions\n\nPrompt engineering expertise highly desired\n\nREQUIREMENTS:\nB.S. or M.S. in Computer Science, Machine Learning, AI, or equivalent or proven years of experience.\n\n8+ years of experience in software development, including some experience with generative models.\n\n3+ years of experience with backend server language Python.\n\n5+ years of experience in developing REST APIs with JSON, HTTP protocol, Postman and/or curl\n\n5+ years of experience with HTML, CSS, JavaScript, and at least one JavaScript Frontend Framework (e.g. React or Vue). Familiarity with websockets required\n\nThe pay range for this position is $160,000 - $180,000/yr USD\nAbout Skechers\nSkechers, a global Fortune 500® company, develops and markets a diverse range of lifestyle and performance footwear, apparel, and accessories. Serving over 180 countries and territories, Skechers connects customers to products through department and specialty stores, e-commerce and digital stores, and through our more than 5,300 Skechers retail locations.\nEqual Employment Opportunity\nSkechers is committed to providing a safe, inclusive, and respectful work environment. Skechers provides equal employment opportunities for all employees and applicants for employment without regard race, color, religion, gender, gender identification and expression, national origin, marital status, age, disability, genetic information, military status, sexual orientation, or any other protected characteristic established by local, state or federal law.\n Reasonable Accommodation\nApplicants for employment who require a reasonable accommodation to apply for a job should request appropriate accommodation by emailing .\nTo perform this job successfully, an individual must be able to perform each job responsibility satisfactorily. The skills, abilities and physical demands described are representative of those duties that must be met by an employee to successfully perform the essential functions of this job. 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