{"id":1220205,"url":"https://alion.io/job/dtcc-ai-data-engineering-architect","title":"AI & Data Engineering Architect","company":{"id":1759477,"name":"Depository Trust & Clearing Corporation","domain":"dtcc.com","url":"https://alion.io/company/dtcc-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":78,"open_postings":83,"ghost_share":0.012,"stale_share":0.843,"repost_share":0.012,"time_to_fill_p50_days":36,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"Airflow","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"MLFlow","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Snowflake","optional":false},{"name":"Tool Use","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-09-17T15:34:46Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-10-17T17:17:11Z","board_verified":true,"closed_at":null,"days_open":30,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":30},"description":"Are you ready to make an impact at DTCC?\nDo you want to work on innovative projects, collaborate with a dynamic and supportive team, and receive investment in your professional development? At DTCC, we are at the forefront of innovation in the financial markets. We are committed to helping our employees grow and succeed. We believe that you have the skills and drive to make a real impact. We foster a thriving internal community and are committed to creating a workplace that looks like the world that we serve.\nPay and Benefits:\nCompetitive compensation, including base pay and annual incentive\nComprehensive health and life insurance and well-being benefits, based on location\nPension / Retirement benefits\nPaid Time Off and Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.\nDTCC offers a flexible/hybrid model of 3 days onsite and 2 days remote (onsite Tuesdays, Wednesdays and a third day unique to each team or employee).\nThe Impact you will have in this role:\nThe Development family is responsible for creating, designing, deploying, and supporting applications, programs, and software solutions. May include research, new development, prototyping, modification, reuse, re-engineering, maintenance, or any other activities related to software products used internally or externally on product platforms supported by the firm. The software development process requires in-depth subject matter expertise in existing and emerging development methodologies, tools, and programming languages. Software Developers work closely with business partners and / or external clients in defining requirements and implementing solutions. The Software Engineering role specializes in planning, documenting technical requirements, designing, developing, and testing all software systems and applications for the firm. Works closely with architects, product managers, project management, and end-users in the development and enhancement of existing software systems and applications, proposing and recommending solutions that solve complex business problems.\nKey Responsibilities\nLead the architecture, design, and implementation of enterprise-scale Agentic AI platforms and intelligent automation solutions that support critical business functions and data-driven decision making.\nDefine and drive the organization's AI/ML architecture strategy, reference architectures, standards, and best practices across data, model, infrastructure, and governance layers.\nDesign and implement advanced multi-agent systems using frameworks such as LangGraph, AutoGen, LlamaIndex, and emerging agent orchestration technologies.\nArchitect complex Retrieval-Augmented Generation (RAG) solutions leveraging vector databases, knowledge graphs, semantic search, and enterprise data platforms.\nDevelop scalable agentic workflows incorporating tool-calling, memory management, planning, reasoning, reflection, and human-in-the-loop capabilities.\nLead the integration of LLM-powered applications utilizing Azure OpenAI, AWS Bedrock, and other enterprise AI services while ensuring performance, security, and cost optimization.\nDesign enterprise-grade data architectures utilizing Snowflake, Apache Iceberg, Vector Databases, and cloud-native data platforms to support AI and analytics workloads.\nEstablish standards and frameworks for model lifecycle management, experimentation, deployment, monitoring, observability, and governance using MLflow and modern MLOps practices.\nDefine and implement enterprise AI security controls, including OAuth authentication, fine-grained authorization, role-based access control, data protection, and model governance frameworks.\nDrive AI platform modernization initiatives through containerization and orchestration technologies including Docker, Kubernetes, and cloud-native deployment architectures.\nEstablish reusable patterns for Model Context Protocol (MCP) integration, external tool orchestration, AI application interoperability, and agent communication frameworks.\nCollaborate with business leaders, product owners, and engineering teams to identify AI transformation opportunities and translate business objectives into scalable technical solutions.\nLead architectural reviews and provide technical oversight for AI/ML projects across multiple teams and business domains.\nDevelop enterprise standards for RAG evaluation, prompt management, agent testing, model monitoring, AI safety, and responsible AI implementation.\nPartner with Data Engineering teams to architect robust data ingestion, transformation, and orchestration pipelines using dbt, Airflow, Snowflake, and Apache Iceberg.\nDrive continuous innovation by evaluating emerging AI technologies, open-source frameworks, foundation models, and industry best practices.\nLeadership & Strategic ResponsibilitiesServe as the organization's subject matter expert for Agentic AI, Generative AI, Enterprise AI Architecture, and Intelligent Automation.\nMentor and guide senior engineers, data scientists, AI developers, and solution architects on architecture decisions and engineering best practices.\nInfluence technology roadmaps and long-term platform strategy for AI, data, and analytics capabilities.\nEstablish AI Center of Excellence standards, reusable frameworks, and governance processes across the enterprise.\nLead proof-of-concepts, architecture assessments, technology evaluations, and vendor engagements.\nProvide thought leadership on emerging AI trends, autonomous agents, foundation models, AI governance, and enterprise adoption strategies.\nTechnical Expertise ExpectedDeep expertise in Agentic AI architectures, multi-agent collaboration frameworks, and autonomous workflow orchestration.\nStrong experience building enterprise-grade RAG systems, semantic search solutions, vector databases, and knowledge retrieval platforms.\nAdvanced proficiency in Python, AI orchestration frameworks (LangGraph, AutoGen, LlamaIndex), and cloud AI platforms.\nExtensive experience with Snowflake, Apache Iceberg, distributed data engineering, and large-scale enterprise data ecosystems.\nExpertise in MLOps, CI/CD, MLflow, Kubernetes, Docker, and production AI deployment patterns.\nStrong understanding of AI governance, model security, compliance, privacy, and responsible AI principles.\nExperience designing highly scalable, resilient, and secure AI platforms capable of supporting enterprise-wide adoption\nActual salary is determined based on the role, location, individual experience, skills, and other considerations. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.","description_format":"text","description_chars":7114,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Life insurance","Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Stock Exchanges & Market Infrastructure","Custody & Fund Administration"],"lifecycle":[{"event":"open","at":"2026-09-25T11:46:11Z"}],"visa":[],"liveness":{"score":44,"band":"fade","label":"Fading","p_open":1,"p_active":0.582,"p_room":0.75,"age_days":29,"expected_fill_days":36,"reasons":["conf:5","stale_co","velocity","win:late","comp:brand"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/dtcc-ai-data-engineering-architect","json_url":"https://alion.io/job/dtcc-ai-data-engineering-architect.json","meta":{"generated_at":"2026-10-18T01:21:28Z","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":2285,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"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":1759477},"rest":"https://alion.io/mcp/rest/get_company?id=1759477"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdtcc-ai-data-engineering-architect"},{"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%2Fdtcc-ai-data-engineering-architect"},{"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%2Fdtcc-ai-data-engineering-architect"},{"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/dtcc-ai-data-engineering-architect\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdtcc-ai-data-engineering-architect"}]}