{"id":2743982,"url":"https://alion.io/job/amalgamatedbank-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":1786024,"name":"AmalgamatedBank","domain":"amalgamatedbank.com","url":"https://alion.io/company/amalgamatedbank","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"ADP","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":170000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentforce","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot Studio","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"Function Calling","optional":false},{"name":"Google SecOps","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"MuleSoft","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Salesforce Data Cloud","optional":false},{"name":"SIEM","optional":false},{"name":"Spark","optional":false},{"name":"Splunk","optional":false},{"name":"SQL","optional":false},{"name":"Apex","optional":true},{"name":"Azure","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LlamaIndex","optional":true},{"name":"MLFlow","optional":true}],"status":"live","first_seen_at":"2026-10-16T16:17:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-21T11:05:16Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Purpose of Position:\nWe are seeking an experienced Senior AI Engineer to serve as a hands-on technical lead and primary builder within the Data Governance Team. This individual will design, build, deploy, and operate governed, auditable agentic solutions on the Bank's Databricks foundation. The role combines production engineering and architecture judgment, with direct responsibility for translating business needs into scalable AI capabilities that deliver measurable value in a regulated environment.\nEssential Job Functions:\nAct as a hands-on lead engineer and primary builder, writing production code and delivering agents and LLM applications while shaping the Bank's AI architecture on Databricks.\nDesign, build, test, deploy, and operate production agents using retrieval-augmented generation, tool calling, multi-agent, supervisory, and human-in-the-loop patterns.\nBuild and integrate Model Context Protocol (MCP) clients and servers; author secure custom tools and APIs; and establish reusable patterns for tool discovery, permissions, execution, and error handling.\nLead prompt and context engineering, model selection, evaluation, and token-usage optimization to improve quality, latency, reliability, and cost efficiency.\nConfigure and operate Databricks AI Gateway as the control point for model and agent access, including routing, access policies, rate limits, usage logging, cost controls, and guardrails.\nEstablish agent identity and authorization patterns, including on-behalf-of and delegated identity approaches, so agent actions are properly attributed, authorized, and auditable.\nPartner with business stakeholders across credit, lending, relationship banking, and other functions to understand context and requirements and translate them into agent scope, delivery plans, and acceptance criteria.\nManage backlog priorities and trade-off decisions across business value, risk, cost, complexity, and delivery timing; drive adoption and measure and communicate business KPI impact.\nCollaborate with BI engineers to architect dashboards that monitor agent cost, accuracy, usage, performance, traceability, and business outcomes.\nPartner with Information Security on AI observability by identifying relevant control-plane and agent telemetry, defining signals for enterprise SIEM platforms such as Google SecOps or Splunk, and recognizing anomalous patterns that warrant investigation.\nPartner with data stewards and data engineers to certify data sources and enforce classification, lineage, and entitlements through Unity Catalog.\nIntegrate agents across platforms using Salesforce Data Cloud and Agentforce, Microsoft Copilot Studio, and MuleSoft.\nCollaborate with Information Security, Model Risk, Compliance, Legal, and Internal Audit to develop governance standards, documentation, control evidence, and testing artifacts.\nBuild CI/CD, automated testing, evaluation, and operational monitoring for AI workloads; mentor junior engineers; evaluate vendors and implementation partners; and perform other duties as directed.\nKnowledge, Skills and Experience Requirements:\nBachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience; Master's degree preferred.\n7+ years of experience in software, data, or machine learning engineering, including 2+ years delivering LLM or agent-based solutions to production.\nDemonstrated experience delivering agentic capabilities in a regulated industry that produced measurable business value and scaled beyond proof of concept; financial services experience preferred.\nStrong Python and SQL skills with hands-on production experience using Databricks, Spark, Delta Lake, Unity Catalog, and Databricks AI Gateway or a comparable LLM gateway.\nExperience building and integrating MCP clients and servers, developing custom tools, implementing tool-calling workflows, and securing agent access to enterprise systems and data.\nStrong prompt and context engineering skills, including model selection, evaluation design, token-usage optimization, and cost/performance trade-off management.\nKnowledge of agent identity and authorization patterns, including on-behalf-of and delegated identity models.\nExperience implementing guardrails for cost, accuracy, safety, observability, and end-to-end traceability of LLM and agent workloads.\nExperience working directly with non-technical business teams to define scope, manage prioritization trade-offs, drive adoption, and connect AI delivery to measurable business outcomes.\nUnderstanding of AI and data governance, model risk management, privacy, and data security in a regulated environment.\nExcellent problem-solving and communication skills, with the ability to influence technical, business, risk, and executive stakeholders.\nPreferred Qualifications:\nProduction experience with LangGraph, LlamaIndex, or an equivalent agentic orchestration framework.\nExperience with Salesforce Data Cloud and Agentforce, MuleSoft, or Microsoft Copilot Studio.\nExperience with MLflow tracing, inference tables, or comparable LLM observability tooling.\nFamiliarity with Google SecOps, Splunk, or comparable SIEM platforms and AI telemetry integration.\nFamiliarity with SR 11-7 model risk guidance and emerging AI regulatory expectations.\nDatabricks or Azure AI certifications.\n.\nOur job titles may span more than one career level. The starting base salary for this role is between $170,000 - $200,000. The actual base pay is dependent upon many factors, such as: training, transferrable skills, work experience, business needs and market demands. The base pay range is subject to change and may be modified in the future.\nAmalgamated Bank is anEqual Opportunity and Affirmative Action Employer, Minorities / Females / Individuals with Disability / Veterans. AmeriCorps, Peace Corps and other national service alumni are encouraged to apply. View ourPay Transparency Statement. Submission of a resume or any information regarding your qualifications does not constitute a promise or offer of employment. At Amalgamated Bank, we consider an applicant to be someone who has interviewed at least once, in person, with the hiring manager. Amalgamated Bank does not sponsor applicants for work visas.\nHybrid Work Model \n Effective February 18, 2025, employees in office-based positions will be working a Hybrid work schedule consisting of three days or more, on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, the contact center, branch service roles, and general services where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance does not apply to roles that have been designated as “remote”.\nSearch Firm Representatives- Please Read Carefully Amalgamated Bank does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for the position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.","description_format":"text","description_chars":7747,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks"],"lifecycle":[{"event":"open","at":"2026-10-16T21:49:43Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":4,"expected_fill_days":69,"reasons":["conf:1","win:early"],"computed_at":"2026-10-21T05:46:15Z"},"pay":{"stated_usd_annual":200000,"is_top_pay":false},"html_url":"https://alion.io/job/amalgamatedbank-senior-ai-engineer","json_url":"https://alion.io/job/amalgamatedbank-senior-ai-engineer.json","meta":{"generated_at":"2026-10-21T18:49:58Z","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":26658,"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":1786024},"rest":"https://alion.io/mcp/rest/get_company?id=1786024"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Famalgamatedbank-senior-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%2Famalgamatedbank-senior-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%2Famalgamatedbank-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/amalgamatedbank-senior-ai-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Famalgamatedbank-senior-ai-engineer"}]}