{"id":53807,"url":"https://alion.io/job/manh-principal-ai-engineer","title":"Principal AI Engineer","company":{"id":4258,"name":"Manhattan Associates","domain":"manh.com","url":"https://alion.io/company/manh","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":3,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":67,"computed_at":"2026-10-17T05:46:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Atlanta, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":138000,"max_usd":283000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":691},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BERT","optional":false},{"name":"Bitbucket","optional":false},{"name":"Computer Vision","optional":false},{"name":"Confluence","optional":false},{"name":"Copilot","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GCP","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jira","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"OCR","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"ResNet","optional":false},{"name":"Scikit-learn","optional":false},{"name":"ServiceNow","optional":false},{"name":"SharePoint","optional":false},{"name":"Spark","optional":false},{"name":"TensorFlow","optional":false},{"name":"Transformers","optional":false},{"name":"Waterfall","optional":false},{"name":"YOLO","optional":false}],"status":"live","first_seen_at":"2026-03-31T00:00:00Z","employer_posted_date":"2026-03-31","last_verified_at":"2026-10-17T04:08:12Z","board_verified":true,"closed_at":null,"days_open":201,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":200},"description":"We create possibilities that move life and commerce forward\nWelcome to Manhattan. Every day, our supply chain commerce technology connects two billion people to 20 billion consumer choices. In the warehouse, on the road and in the store, we make what was once impossible, possible. If you want to tackle complex problems and redefine markets, you’ve come to the right place.\nPrincipal AI Engineer is a senior technical leader responsible for designing, developing, and guiding the implementation of advanced artificial intelligence systems that support business goals. They combine deep expertise in machine learning, data science, and software engineering with strategic leadership to drive AI initiatives across an organization. They will drive the adoption of AI solutions by evangelizing their value, educating stakeholders, and guiding teams to integrate scalable and responsible AI capabilities into products and business processes.\nMINIMUM REQUIREMENTS -\n7+ years of industry experience in software engineering, machine learning, or AI roles, with a focus on developing, deploying, and scaling ML/AI solutions.\n3+ years of proven experience in designing large-scale AI systems and defining technical roadmaps.\nStrong experience developing AI-driven workflows using eknowledge platforms, and AI agent frameworks such as Microsoft Copilot, Glean, and Google Agentspace\nDeep knowledge of:Machine Learning (classification, regression, clustering, recommendation systems)\nDeep Learning (CNNs, RNNs, Transformers, GANs)\nNatural Language Processing (BERT, GPT, LLM fine-tuning)\nComputer Vision (YOLO, ResNet, object tracking, OCR)\n\nExpertise in:Python and relevant ML libraries (TensorFlow, PyTorch, Scikit-learn, Hugging Face)\nData engineering and pipeline development (Airflow, Spark, ETL systems)\nMLOps, model lifecycle management, and production-grade deployment\nCloud platforms (AWS/GCP/Azure), containerization (Docker), orchestration (Kubernetes)\n\nTrack record of scaling ML models from experimentation to production across teams or business units.\nDesign and implement integrations using Model Context Protocol to connect AI models with external tools, APIs, and data sources.\nDemonstrated ability to set research and development direction based on business needs.\nPossesses and applies moderate to complex knowledge of particular product or platform to the completion of assignments\n3+ years experience interfacing and partnering with vendors\n3+ years experience assisting in strategy/roadmap and planning\nStrong communication skills and ability to communicate at all levels of the organization (technical and business)\n2+ years experience leading/mentoring more junior staff members\nHighly self-motivated, directed, ability to work independently and be results-driven\n5+ years experience with SharePoint for document management and sharing\n5+ years experience with IT ticketing software (Quality Center, ServiceNow, JIRA)\n3+ years experience in agile/waterfall software delivery methodologies\n3+ years experience using Jira, Bitbucket and Confluence agile toolsets or similar\n5+ years experience working with small, geographically distributed teams\n5+ years experience working both independently and in a team oriented, collaborative environment\nAbility to be flexible while delivering assignments with understanding that deliverables may change based on business needs\nEDUCATION REQUIREMENTS -\nBachelor’s degree or foreign equivalent in computer science, engineering or related field or equivalent work experience\nPrincipal Duties and Responsibilities -\nAI Architecture & Strategy: Design scalable AI/ML architectures and define long-term AI technology strategy aligned with business objectives.\nModel Development: Lead development of machine learning, deep learning, and generative AI models for production environments.\nTechnical Leadership: Mentor AI engineers, data scientists, and ML engineers; set engineering standards and best practices.\nResearch & Innovation: Evaluate emerging AI technologies and integrate cutting-edge methods into products and platforms.\nProduction Deployment: Oversee model deployment, monitoring, optimization, and lifecycle management in cloud or on-prem environments.\nCross-Functional Collaboration: Work closely with product managers, data engineers, and business stakeholders to translate requirements into AI solutions\nResponsible AI & Governance: Ensure ethical AI practices, model explainability, fairness, privacy, and regulatory compliance.\nPerformance Optimization: Improve model accuracy, efficiency, scalability, and reliability for enterprise-scale systems.\nADDITIONAL CHARACTERISTICS -\nIndependently performs assignments to achieve stated objective. Determines and develops approach to solutions\nReceives technical guidance only on unusual or complex problems or issues\nMay be responsible for entire projects having moderate to complex scope/impact or portions of projects having considerable scope/impact\nUses judgment and discretion to determine work priorities, receiving little instruction from others\nCommitted to diversity and inclusion\nAt Manhattan, it’s about more than just the work. From cultural celebrations to interest groups to volunteer opportunities, your true self is always welcome here. Our team members’ backgrounds, experiences and perspectives add to us as a whole and make us unique.\nWe are proudly an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a veteran. In the United States, Manhattan Associates participates in the Employment Eligibility Verification Program (E-Verify) operated by the Department of Homeland Security in partnership with the Social Security Administration. Participation in the E-Verify Program allows Manhattan to confirm the employment eligibility of all newly hired employees after the Employment Eligibility Verification Form (Form I-9) has been completed.","description_format":"text","description_chars":6048,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Commerce","Transportation & Logistics","Supply Chain"],"lifecycle":[{"event":"open","at":"2026-03-31T00:00:00Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 130 · green card filings: 86","filings_12m":130,"filings_prev_12m":121,"green_card_filings_12m":86,"median_offered_wage_usd":132500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)","US Department of Labor: PERM disclosure data (green cards)"],"filings_for_role_12m":0}],"liveness":{"score":16,"band":"cold","label":"Long shot","p_open":1,"p_active":0.56,"p_room":0.28,"age_days":200,"expected_fill_days":67,"reasons":["conf:1","win:tail","crowd:"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/manh-principal-ai-engineer","json_url":"https://alion.io/job/manh-principal-ai-engineer.json","meta":{"generated_at":"2026-10-18T04:40:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":6979,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4258},"rest":"https://alion.io/mcp/rest/get_company?id=4258"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmanh-principal-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmanh-principal-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmanh-principal-ai-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/manh-principal-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmanh-principal-ai-engineer"}]}