{"id":1314911,"url":"https://alion.io/job/morgan-stanley-ai-platform-engineer-architect-vp","title":"AI Platform Engineer / Architect - VP","company":{"id":40230,"name":"Morgan Stanley","domain":"morganstanley.com","url":"https://alion.io/company/morgan-stanley","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"A","score":88,"open_postings":216,"ghost_share":0,"stale_share":0.477,"repost_share":0.014,"time_to_fill_p50_days":55,"computed_at":"2026-10-20T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"head","employment_type":null,"work_mode":"on_site","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":155000,"max":215000,"currency":"USD","period":"year","gross":null,"usd_annual":215000},"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"Flask","optional":false},{"name":"GCP","optional":false},{"name":"GitOps","optional":false},{"name":"Hugging Face","optional":false},{"name":"Jenkins","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"Llama","optional":false},{"name":"OpenShift","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Redis","optional":false},{"name":"Rest API","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Cortex","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Grafana","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"Loki","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Prometheus","optional":true}],"status":"live","first_seen_at":"2026-08-07T00:00:00Z","employer_posted_date":"2026-09-15","last_verified_at":"2026-10-20T23:29:22Z","board_verified":true,"closed_at":null,"days_open":75,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":75},"description":"Our mission is to develop a firmwide Artificial Intelligence (AI) Development Platform that aligns with the firm's Technology principles and drives efficiency and consistency, controls, security and strong governance and promotes innovation, enabling teams to build applications that leverage AI capabilities and accelerate the adoption of AI across our businesses.\nThis role is for a platform engineering specialist who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. We have multiple focus areas across the platform and are looking for energetic, multi-disciplinary candidates who are eager to contribute to providing scalable, secure, enterprise-wide solutions for the firm.\nThe ideal candidate will have strong hands-on experience building software platforms on any combination of the following platforms - Kubernetes, Cloud (AWS, Azure, and/or Google), API based development, REST framework, data engineering, and large-scale API Gateway environments etc. Knowledge of AIML and hands-on experience implementing solutions using Generative AI are also preferable. The candidate will have great communication skills, a team-based mentality and a strong passion for using AI to increase productivity as well as help generate new ideas for product & technical improvements.\nIn the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.\nSince 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.\nWhat you'll do in the role:\nBelow is a sample of potential responsibilities depending on product / focus area\nDevelop tooling and self-service capabilities for deploying AI solutions for the firm leveraging Kubernetes/OpenShift, Python, authentication solutions, APIs, REST framework, etc\nDevelop Terraform modules and Cloud architecture to enable secure AI cloud service deployment and consumption at scale\nHave a platform mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models.\nLeverage Kubernetes/OpenShift to develop modern containerized workloads\nIntegrate with capabilities such as large-scale vector stores for embeddings.\nAuthor best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain.\nAnalyze, investigate, and implement GenAI solutions focusing on Agentic Orchestration and Agent Builder frameworks.\nAuthor and publish architecture decision records to capture major design decisions and product selection for building Generative AI solutions. Inclusive of app authentication, service communication, state externalization, container layering strategy and immutability.\nEnsure AI platform are reliable, scalable, and operational; (e.g. blueprints for upgrade/release strategies (E.g. Blue/Green); logging/monitoring/metrics; automation of system management tasks)\nParticipate in all team's Agile/ Scrum ceremonies.\nParticipate in team's oncall rotation in build/run team model\nWhat you'll bring to the role:\nBachelor's or Master's degree in Computer Science or related field, or equivalent job experience\n8+ years of experience in software engineering, design and development\nStrong hands-on Application Development background in at least one prominent programming language, preferably Python Flask or FAST Api.\nBroad understanding of data engineering (SQL, NoSQL, Big Data, Kafka, Redis), data governance, data privacy and security.\nExperience in development, management, and deployment of Kubernetes workloads, preferably on OpenShift.\nExperience with designing, developing, and managing RESTful services for large-scale enterprise solutions.\nExperience deploying applications on Azure, AWS, and/or GCP using IaC (Terraform)\nHands-on experience with multiprocessing, multithreading, asynchronous I/O, performance profiling in at least one prominent programming language, preferably python.\nAbility to articulate technical concepts effectively to diverse audiences.\nExcellent communication skills.\nDemonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations\nDemonstrated experience in DevOps, understanding of CI/CD (Jenkins) and GitOps.\n> Knowledge of DevOps and Agile practices.\nNice to have\nPractitioner of unit testing, performance testing and BDD/acceptance testing.\nUnderstanding of OAuth 2.0 protocol for secure authorization.\nProficiency with Open Telemetry tools including Grafana, Loki, Prometheus, and Cortex.\nGood knowledge of Microservice based architecture, industry standards, for both public and private cloud.\nGood understanding of modern Application configuration techniques.\nHands on experience with Cloud Application Deployment patterns like Blue/Green.\nGood understanding of State sharing between scalable cloud components (Kafka, dynamic distributed caching).\nGood knowledge of various DB engines (SQL, Redis, Kafka, etc) for cloud app storage.\nExperience building AI applications, preferably Generative AI and LLM based apps.\nDeep understanding of AI agents, Agentic Orchestration, Multi-Agent Workflow Automation, along with hands-on experience in Agent Builder frameworks such Lang Chain and Lang Graph.\nExperience working with Generative AI development, embeddings, fine tuning of Generative AI models.\nUnderstanding of ModelOps/ ML Ops/ LLM Op.\nUnderstanding of SRE techniques.\nWhat you can expect from Morgan Stanley:\nWe have a track record of innovation and passion for unlocking new opportunities, we help our clients raise, manage and allocate capital. We do this by offering a wide range of investment banking, securities, wealth management and asset management services.\nAll that we do at Morgan Stanley is driven by our five core values: do the right thing, put clients first, lead with exceptional ideas, commit to diversity and inclusion, and give back. These aren't just beliefs, they guide the decisions we make every day, ensuring we do what's best for our clients, communities and more than 80,000 employees around the world. And at the core of our success are the people who drive it - relentless collaborators and creative thinkers who are fueled by diverse thinking and experiences.\nWherever you are in our 1,200 global offices, you'll have the opportunity to work alongside the best and the brightest in an environment where you are empowered to achieve your full potential. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry.\nMorgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential.\nWHAT YOU CAN EXPECT FROM MORGAN STANLEY:\nAt Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that’s differentiated - and we’ve done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.\nTo learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.\nExpected base pay rates for the role will be between $155,000 and $215,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs\nMorgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background. Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.\nOur workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.\nFor more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.","description_format":"text","description_chars":9406,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A Advisory","Online Brokerage & Trading Platforms"],"lifecycle":[{"event":"open","at":"2026-09-26T18:06:17Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 261 · green card filings: 46","filings_12m":261,"filings_prev_12m":208,"green_card_filings_12m":46,"median_offered_wage_usd":202500,"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":4}],"liveness":{"score":36,"band":"fade","label":"Fading","p_open":1,"p_active":0.828,"p_room":0.44,"age_days":74,"expected_fill_days":55,"reasons":["conf:3","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-20T05:45:00Z"},"pay":{"stated_usd_annual":215000,"is_top_pay":false},"html_url":"https://alion.io/job/morgan-stanley-ai-platform-engineer-architect-vp","json_url":"https://alion.io/job/morgan-stanley-ai-platform-engineer-architect-vp.json","meta":{"generated_at":"2026-10-21T00:46:31Z","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":1210,"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":40230},"rest":"https://alion.io/mcp/rest/get_company?id=40230"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmorgan-stanley-ai-platform-engineer-architect-vp"},{"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%2Fmorgan-stanley-ai-platform-engineer-architect-vp"},{"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%2Fmorgan-stanley-ai-platform-engineer-architect-vp"},{"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/morgan-stanley-ai-platform-engineer-architect-vp\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmorgan-stanley-ai-platform-engineer-architect-vp"}]}