{"id":2576012,"url":"https://alion.io/job/sklifescienceinc-ai-engineer-business-operations","title":"AI Engineer, Business Operations","company":{"id":3143012,"name":"SK Life Science","domain":"sklifescienceinc.com","url":"https://alion.io/company/sklifescienceinc","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Paramus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":135000,"max":160000,"currency":"USD","period":"year","gross":null,"usd_annual":160000},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Feature Store","optional":false},{"name":"Kubernetes","optional":false},{"name":"ONNX","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Python","optional":false},{"name":"Quantization","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-15T00:15:38Z","employer_posted_date":"2026-10-15","last_verified_at":"2026-10-20T15:52:12Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Overview\nThe AI Engineer, Biz Ops will build the AI-powered services that form the backbone of our decision-intelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, production-ready applications by designing inference pipelines, APIs, and supporting data flows.\nYou will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AI-native services. This includes building reliable batch and real-time inference systems that generate measurable impact across business operations-not limited to any specific domain.\nThis is a high-impact role for engineers who enjoy turning research into products, hardening systems for real-world use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred.\nResponsibilities\nProductionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance.\nCollaborate with AI Scientists to convert research prototypes into production-ready components (feature computation, preprocessing, post-processing, evaluation loops).\nIntegrate models with data pipelines built by Data Engineers and ensure seamless end-to-end flow from raw data to AI-driven output.\nBuild and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and on-prem environments.\nImplement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments.\nEstablish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting).\nPartner with BizOps and Commercial stakeholders to transform manual workflows into AI-enabled services that improve operational decision-making.\nOptimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization.\nContribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization.\nQualifications\nEducation: Bachelor’s degree or higher in Computer Science, Engineering, or related technical field.\nExperience: 3+ years of software engineering experience, including building or deploying AI systems in production environments.\n Skills:Strong proficiency in Python for services, pipelines, and ML tooling.\nExperience deploying AI models in production across on-prem or cloud environments (AWS or Azure).\nExperience with big-data and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines.\nStrong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control.\nExperience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performance-oriented inference tooling.\n\nStrongly Preferred\nInterest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring).\nMaster’s degree or higher in a relevant field.\nExperience in regulated industries (e.g., biopharma, healthcare, and finance).\nA portfolio of launched AI/ML projects or contributions to production of AI systems.\nProficiency in SQL and familiarity with modern data warehouses such as Snowflake.\nWho Thrives in This Role\nEngineers who enjoy transforming research into resilient, user-facing products.\nBuilders who balance rapid iteration with production-grade engineering standards.\nCollaborators who can partner with business teams to convert manual workflows into scalable AI services.\nPragmatic problem-solvers who can operate autonomously and drive impact in ambiguous, cross-functional settings.\n**Candidates must be authorized to work in the United States without current or future employer sponsorship.\nCompensation & Benefits\nThe anticipated salary range for this position is $135,000 to $160,000. Actual compensation may vary based on factors including experience, qualifications, skills, and business needs.\nIn addition to base salary, SK Life Science offers a competitive benefits package, including a 401(k) plan with company match and medical, dental, and vision coverage. Benefits are subject to eligibility requirements and may be modified at the Company's discretion.","description_format":"text","description_chars":4549,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology"],"lifecycle":[{"event":"open","at":"2026-10-15T00:15:38Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":5,"expected_fill_days":30,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":160000,"is_top_pay":false},"html_url":"https://alion.io/job/sklifescienceinc-ai-engineer-business-operations","json_url":"https://alion.io/job/sklifescienceinc-ai-engineer-business-operations.json","meta":{"generated_at":"2026-10-20T16:21:16Z","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":18703,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-21T00:00:00Z"}},"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":3143012},"rest":"https://alion.io/mcp/rest/get_company?id=3143012"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsklifescienceinc-ai-engineer-business-operations"},{"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%2Fsklifescienceinc-ai-engineer-business-operations"},{"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%2Fsklifescienceinc-ai-engineer-business-operations"},{"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/sklifescienceinc-ai-engineer-business-operations\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsklifescienceinc-ai-engineer-business-operations"}]}