{"id":60676,"url":"https://alion.io/job/manulife-ai-engineer-hybrid","title":"AI Engineer - Hybrid","company":{"id":6650,"name":"Manulife","domain":"manulife.com","url":"https://alion.io/company/manulife","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":93,"open_postings":83,"ghost_share":0,"stale_share":0.265,"repost_share":0.036,"time_to_fill_p50_days":27,"computed_at":"2026-10-21T05:46:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States","Toronto, Canada"],"countries":["US","CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90160,"max":167440,"currency":"USD","period":"year","gross":null,"usd_annual":167440},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Azure","optional":false},{"name":"Azure AKS","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"OpenAI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"AI Agents","optional":true},{"name":"FAISS","optional":true},{"name":"Pinecone","optional":true}],"status":"closed","first_seen_at":"2026-08-17T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-19T07:31:53Z","board_verified":false,"closed_at":"2026-10-19T07:31:53Z","days_open":63,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":63},"description":"AI Engineer\nJob Posting Description\nThe AI Engineer will join the AI team supporting the Long-Term Care program in Manulife/John Hancock. This role will help design, build, deploy, and scale production-grade AI solutions that improve business outcomes, operational efficiency, risk management, and customer experience across the Long-Term Care value chain.\nThe ideal candidate is passionate about AI and technology, a lifelong learner, and someone who actively follows the latest trends in AI Engineering, ML Engineering, Generative AI, LLMs, cloud-native development, and modern software engineering. This individual should bring strong hands-on experience in deploying models to production, monitoring model performance, and applying established MLOps and LLMOps frameworks.\nThis role requires a strong blend of AI, traditional data science, predictive analytics, machine learning, GenAI, and production engineering. The successful candidate will work closely with Data Scientists, Data Engineers, Product Owners, Business Partners, and Technology teams to turn prototypes into reliable, scalable, and well-governed AI products.\nPosition Responsibilities\nDesign, build, and deploy production-ready AI and ML solutions that support the Long-Term Care program across John Hancock and Manulife.\nPartner with Data Scientists, Data Engineers, Business Analysts, and Product teams to translate business needs into scalable AI products.\nBuild and maintain modular, reusable ML and GenAI pipelines, including data processing, feature engineering, model training, evaluation, deployment, and monitoring.\nOperationalize traditional ML models and predictive analytics solutions, including classification, regression, forecasting, risk scoring, segmentation, and anomaly detection.\nImplement GenAI and LLM-based solutions, including retrieval-augmented generation, prompt orchestration, document intelligence, summarization, classification, and intelligent workflow automation.\nDeploy models and AI services into production using modern engineering practices such as containerization, CI/CD, automated testing, version control, and cloud-native infrastructure.\nMonitor production models for performance, data drift, model drift, bias, accuracy degradation, latency, cost, and reliability using established MLOps and LLMOps practices.\nBuild observability capabilities, including logging, tracing, metrics, alerts, dashboards, and service-level monitoring.\nCollaborate with Risk, Legal, Compliance, Security, Architecture, and Cloud teams to ensure AI solutions are secure, compliant, explainable, and aligned with enterprise standards.\nSupport model governance activities, including documentation, validation, auditability, model lineage, and responsible AI controls.\nEvaluate and adopt fit-for-purpose tools, frameworks, and platforms across Azure, Databricks, Azure OpenAI, MLflow, vector databases, and internal AI platforms.\nEngineer AI services that integrate with business workflows through APIs, event-driven architecture, batch pipelines, and enterprise applications.\nContinuously improve solution quality, scalability, maintainability, and cost efficiency.\nStay current with emerging trends in AI, ML, GenAI, LLMOps, software engineering, cloud platforms, and financial services technology, and share relevant learnings with the team.\nMentor junior engineers and data scientists on production engineering standards, clean code, testing, monitoring, and MLOps/LLMOps best practices.\nRequired Qualifications\n3+ years of experience in AI Engineering, ML Engineering, Software Engineering, Data Science Engineering, or a related technical role.\nStrong programming skills in Python, with experience building reliable, maintainable, and production-quality code.\nProven experience deploying ML or AI models into production cloud environments.\nHands-on experience with MLOps practices, including model versioning, model registry, CI/CD, automated testing, monitoring, retraining workflows, and production support.\nExperience monitoring model performance in production, including accuracy, drift, latency, stability, reliability, and business performance indicators.\nStrong understanding of traditional machine learning and predictive analytics techniques, including supervised learning, unsupervised learning, feature engineering, model evaluation, and experimentation.\nPractical experience with GenAI and LLM-based solutions, including prompt engineering, RAG, embeddings, vector search, evaluation, and guardrails.\nExperience working with cloud platforms, preferably Azure, and tools such as Azure ML, Azure OpenAI, Databricks, MLflow, Docker, Kubernetes/AKS, GitHub Actions, or Azure DevOps.\nStrong SQL skills and experience working with structured and unstructured data.\nExperience with data engineering concepts, including ETL/ELT, Spark, Databricks, Delta Lake, data quality, and scalable data pipelines.\nStrong understanding of software engineering best practices, including API design, unit testing, integration testing, code reviews, documentation, and secure development.\nAbility to work with cross-functional teams and communicate technical concepts clearly to both technical and non-technical stakeholders.\nDemonstrated ability to balance speed, quality, risk, and long-term maintainability.\nPreferred Qualifications\nBachelor’s degree in Computer Science, Software Engineering, Data Science, Mathematics, Statistics, Engineering, or a related technical field, or equivalent industry experience.\nMaster’s or PhD degree in a relevant discipline is an asset.\nExperience in insurance, financial services, healthcare, Long-Term Care, claims, underwriting, risk management, or operations is an asset.\nExperience with model governance, responsible AI, explainability, fairness testing, or regulated AI environments.\nExperience with document intelligence, claims analytics, call center analytics, workflow automation, or knowledge management solutions.\nExperience with vector databases or search technologies such as Azure AI Search, Elastic, Pinecone, FAISS, or similar tools.\nExperience building production-grade GenAI applications using orchestration frameworks, agentic patterns, evaluation frameworks, and guardrails.\nThe role being advertised is an existing vacancy.\nAbout Manulife and John Hancock\nManulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.\nManulife is an Equal Opportunity Employer\nAt Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.\nIt is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .\nReferenced Salary Location\nBoston, MassachusettsWorking Arrangement\nHybridSalary range is expected to be between\n$90,160.00 USD - $167,440.00 USDEmployees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact  for the salary range for your location.\nManulife/John Hancock offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension/401(k) savings plans and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in the U.S. includes up to 11 paid holidays, 3 personal days, 150 hours of vacation, and 40 hours of sick time (or more where required by law) each year, and we offer the full range of statutory leaves of absence.\nWe use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.\nKnow Your Rights IFamily & Medical LeaveIEmployee Polygraph ProtectionIRight to WorkIE-Verify\nCompany: John Hancock Life Insurance Company (U.S.A.)","description_format":"text","description_chars":9649,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Insurance coverage","Life insurance","Retirement plans"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Asset Management & Funds","Health Insurance & Benefits","Life Insurance & Annuities"],"lifecycle":[{"event":"open","at":"2026-08-17T00:00:00Z"},{"event":"close","at":"2026-09-14T22:27:18Z"},{"event":"reopen","at":"2026-09-30T02:07:08Z"},{"event":"close","at":"2026-10-19T07:31:53Z"}],"visa":[],"liveness":null,"pay":{"stated_usd_annual":167440,"is_top_pay":false},"html_url":"https://alion.io/job/manulife-ai-engineer-hybrid","json_url":"https://alion.io/job/manulife-ai-engineer-hybrid.json","meta":{"generated_at":"2026-10-21T11:07:55Z","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":15684,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"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":6650},"rest":"https://alion.io/mcp/rest/get_company?id=6650"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmanulife-ai-engineer-hybrid"},{"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%2Fmanulife-ai-engineer-hybrid"},{"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%2Fmanulife-ai-engineer-hybrid"},{"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/manulife-ai-engineer-hybrid\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmanulife-ai-engineer-hybrid"}]}