{"id":3856315,"url":"https://alion.io/job/suffolk-construction-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":21124,"name":"Suffolk Construction","domain":"suffolk.com","url":"https://alion.io/company/suffolk-construction","size_band":"1001-5000","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS CDK","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Boto3","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphQL","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"LLMOps","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Transfer Learning","optional":false},{"name":"Kubernetes","optional":true}],"status":"live","first_seen_at":"2026-11-06T06:34:20Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T22:24:44Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Overview\nSuffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.\nResponsibilities\nAI Product Engineering & Deployment\nTranslate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.\nImplement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.\nDesign and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.\nImplement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.\nOwn full lifecycle delivery - design, development, testing, deployment, monitoring, and maintenance.\nFull-Stack & Backend Development\nBuild APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.\nCreate reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).\nDevelop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.\nData Engineering & Integration\nPartner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.\nEnsure efficient data access, caching, and vectorization for low-latency AI response.\nBuild tools to monitor and improve data quality, latency, and observability.\nDevOps & Platform Automation\nUse Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments.\nImplement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning.\nEnforce security, governance, and access standards in line with enterprise policies.\nCollaboration & Communication\nWork closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.\nCommunicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates.\nQualifications\n5+ years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.\nExperience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.\nStrong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions\nExperience training, retraining and performing transfer learning on ML models desirable.\nBachelor’s in Computer Science, Engineering, Physics, or a related field; Master’s preferred.\nPrior hands-on work in construction or heavy process industries (manufacturing, oil & gas, chemicals) is a significant plus.\nExcellent collaboration and communication skills - able to work cross-functionally but not dependent on business-side facilitation.\nIntegration & ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.\nWorking Conditions\nWhile performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.\nEEO Statement\nSuffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.\nCompensation Information\nWhere required by law, pay ranges can be found in Suffolk's job postings. Base Salary for this position is just one component of Suffolk’s total rewards package for employees. Actual salaries may be based on several factors including, but not limited to, a candidate's skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall total rewards strategy. Salary ranges are reviewed regularly to reflect market trends.\nAbout Suffolk\nSuffolk - America’s Contractor - is a national company with more than $13 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR’s list of “Top CM-at-Risk Contractors.” For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.\nAt Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That’s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.\nBenefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more.? For more information, click?here.","description_format":"text","description_chars":7086,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["401k plan","Life insurance","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Construction"],"lifecycle":[{"event":"open","at":"2026-11-06T06:34:20Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 22 · green card filings: 3","filings_12m":22,"filings_prev_12m":26,"green_card_filings_12m":3,"median_offered_wage_usd":112500,"route":null,"cap_exempt":false,"checked_at":"2026-11-08T10:45:15+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":1}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":19,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/suffolk-construction-senior-ai-engineer","json_url":"https://alion.io/job/suffolk-construction-senior-ai-engineer.json","meta":{"generated_at":"2026-11-08T23:46:38Z","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":49422,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":21124},"rest":"https://alion.io/mcp/rest/get_company?id=21124"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsuffolk-construction-senior-ai-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fsuffolk-construction-senior-ai-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fsuffolk-construction-senior-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/suffolk-construction-senior-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsuffolk-construction-senior-ai-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3856315}},{"tool":"search_jobs","arguments":{"company":"suffolk.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3856315},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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