{"id":4169024,"url":"https://alion.io/job/depository-trust-clearing-corporation-software-engineering-senior-associate-python-and-ai","title":"Software Engineering Senior Associate (Python AND AI)","company":{"id":1759477,"name":"Depository Trust & Clearing Corporation","domain":"dtcc.com","url":"https://alion.io/company/dtcc-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":81,"open_postings":86,"ghost_share":0,"stale_share":0.756,"repost_share":0.035,"time_to_fill_p50_days":36,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","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":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Embeddings","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"AWS Bedrock AgentCore","optional":true},{"name":"AWS Strands Agents","optional":true},{"name":"CI/CD","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-11-12T07:34:25Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-12T14:15:05Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"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.\nThe Information Technology group delivers secure, reliable technology solutions that enable DTCC to be the trusted infrastructure of the global capital markets. The team delivers high-quality information through activities that include development of essential, building infrastructure capabilities to meet client needs and implementing data standards and governance.\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:\nWe are seeking an experienced Generative AI / Agentic AI Engineer to design, develop, integrate, and deploy enterprise AI solutions using AWS, Amazon Bedrock, Kiro, Python, and related AI technologies.\nThe ideal candidate will have strong hands-on experience building production-ready AI agents and agentic workflows, with particular expertise in agent orchestration, tool/API integration, LLM application development, and cloud deployment.\nThis role will work closely with engineering and business teams to transform business use cases into scalable AI solutions, from initial prototyping through production deployment.\nPrimary Responsibilities:\nDesign, develop, test, and deploy Generative AI and agent-based applications using Amazon Bedrock and AWS.\nBuild AI agents and multi-agent workflows capable of handling complex business processes.\nDesign agent orchestration patterns, including supervisor/coordinator agents, specialized agents, routing, context management, and workflow execution.\nDevelop agent integrations with enterprise applications, APIs, databases, and external services.\nDevelop reusable tools and APIs that allow agents to securely interact with enterprise systems.\nImplement RAG (Retrieval-Augmented Generation) solutions using enterprise documents and data sources.\nWork with appropriate foundation models/LLMs available through Amazon Bedrock, selecting models according to solution requirements.\nUse Kiro as part of AI application and agent development workflows.\nDevelop backend AI services and integration components primarily using Python.\nDesign prompt strategies, agent instructions, tool definitions, workflows, and guardrails.\nBuild solutions supporting multi-step reasoning and tool execution while maintaining appropriate application controls.\nDeploy AI applications and agents into AWS environments and support their production lifecycle.\nImplement appropriate logging, monitoring, evaluation, error handling, security, and observability for AI solutions.\nCollaborate with application developers, architects, data engineers, and business teams to integrate AI capabilities into existing applications and workflows.\nTroubleshoot issues across models, agents, integrations, APIs, and downstream systems.\nProvide technical guidance and mentorship to other engineers and establish reusable development patterns for Agentic AI solutions.\nAWS's current guidance includes multi-agent orchestration approaches in which a central supervisor routes requests to specialized agents, which aligns particularly well with the orchestration expertise you're looking for. [docs.aws.amazon.com]\nTalent needed for success:\n7+ years of software engineering, data/AI engineering, or related development experience, with strong recent experience in AI/ML or Generative AI.\nStrong hands-on programming experience with Python.\nHands-on experience developing Generative AI / LLM applications.\nStrong experience with Amazon Bedrock and AWS-based AI solutions.\nExperience designing and implementing AI Agents and Agentic AI workflows.\nStrong understanding of agent orchestration and multi-agent architectures.\nExperience integrating AI agents with:REST APIs\n\nEnterprise applications\n\nDatabases\n\nInternal services\n\nExternal tools\n\nExperience with RAG, embeddings, vector search, document retrieval, and knowledge integration.\nUnderstanding of prompt engineering, context management, tool/function calling, and agent memory.\nExperience deploying AI applications into production environments.\nStrong understanding of authentication, authorization, secrets management, security, and data privacy considerations for enterprise AI.\nStrong SQL and data integration skills.\nExcellent problem-solving and debugging capabilities.\nStrong communication skills and ability to work across engineering and business teams.\nPreferred Skills:\nExperience with Kiro for agentic/software development. AWS describes Kiro as an agentic coding service that supports specs, code, testing, API integrations, agent hooks, and other development activities. [aws.amazon.com]\nExperience with Amazon Bedrock AgentCore and/or Bedrock multi-agent capabilities.\nExperience with agent development frameworks such as Strands Agents, LangGraph, or similar frameworks.\nExperience with Model Context Protocol (MCP) and MCP-based integrations.\nExperience building multi-agent collaboration/orchestration solutions.\nExperience implementing AI application evaluation and monitoring.\nExperience with CI/CD and DevOps practices for AI applications.\nFamiliarity with responsible AI, model governance, guardrails, and enterprise security.\nThe salary range is indicative for roles at the same level within DTCC across all US locations. Actual 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. 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