{"id":4017938,"url":"https://alion.io/job/att-sr-specialist-software-engineering-ai-forward-deployed-engineer","title":"Sr Specialist Software Engineering (AI Forward Deployed Engineer)","company":{"id":1753140,"name":"AT&T","domain":"att.com","url":"https://alion.io/company/att-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Radancy","truth_index":{"grade":"A","score":95,"open_postings":126,"ghost_share":0.016,"stale_share":0.111,"repost_share":0.063,"time_to_fill_p50_days":26,"computed_at":"2026-11-10T06:52:35Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"FastAPI","optional":false},{"name":"Flask","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"GitHub Actions","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"LLMOps","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Qdrant","optional":false},{"name":"RAG","optional":false},{"name":"Redis","optional":false},{"name":"Reranking","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"Semantic Search","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Weaviate","optional":false},{"name":"Azure Cosmos DB","optional":true},{"name":"Bicep","optional":true},{"name":"Copilot","optional":true},{"name":"Fine-tuning","optional":true},{"name":"GraphRAG","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Knowledge Graph","optional":true},{"name":"LangSmith","optional":true},{"name":"Machine Learning","optional":true},{"name":"MLFlow","optional":true},{"name":"Model Distillation","optional":true},{"name":"Multimodal AI","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Playwright","optional":true},{"name":"Pytest","optional":true},{"name":"Synthetic Data","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-11-10T13:46:28Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-11T00:13:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Experience\n8+ years of relevant software engineering, cloud engineering, AI/ML engineering, platform engineering, or solution engineering experience, including hands-on delivery of production-grade Generative AI, RAG, or Agentic AI systems\nKey Responsibilities\nWork directly with business and technical stakeholders to identify high-value AI use cases and convert ambiguous requirements into production-ready solutions.\nDesign and build Generative AI, Retrieval-Augmented Generation (RAG), Advanced RAG, and Agentic AI applications.\nEngineer retrieval pipelines covering document ingestion, parsing, chunking, metadata enrichment, embeddings, indexing, hybrid retrieval, reranking, grounding, and response generation.\nBuild single-agent and multi-agent systems with planning, reasoning, tool calling, workflow orchestration, state management, memory, retries, exception handling, and human-in-the-loop approvals.\nDevelop and integrate Model Context Protocol (MCP) servers and clients to securely connect AI agents with enterprise tools, APIs, data sources, and workflows.\nBuild reusable tools, functions, plugins, APIs, and connectors for structured and controlled agent execution.\nDevelop AI-enabled backend services and microservices using Python, FastAPI, Flask, REST APIs, asynchronous processing, and event-driven patterns.\nIntegrate AI solutions with enterprise applications, databases, SaaS platforms, cloud services, security platforms, and knowledge repositories.\nApply prompt engineering and context engineering, including system prompts, few-shot prompting, structured outputs, context compression, and conversation-memory strategies.\nBuild automated evaluation pipelines to measure retrieval quality, groundedness, faithfulness, answer relevance, hallucination, task completion, latency, security, token consumption, and cost.\nImplement LLMOps and GenAIOps practices covering model and prompt versioning, testing, deployment, tracing, observability, rollback, and production monitoring.\nImplement AI security guardrails against prompt injection, indirect prompt injection, jailbreaks, sensitive-data disclosure, insecure tool execution, privilege escalation, and excessive agency.\nRapidly develop proofs of concept and convert validated prototypes into secure, scalable, resilient, maintainable, and supportable enterprise applications.\nTroubleshoot complex AI, retrieval, application, data, API, cloud, and integration issues and drive them through root-cause analysis and closure.\nCreate technical designs, architecture diagrams, evaluation reports, runbooks, deployment documentation, and operational support procedures.\nCollaborate with Product Owners, Architects, Software Engineers, DevOps, Cybersecurity, Data Engineering, and business teams while maintaining clear delivery visibility.\nRequired Technical Skills\nMust Have\nStrong programming experience in Python, including production-grade backend and AI application development.\nHands-on experience building Generative AI and Large Language Model (LLM) applications using Azure OpenAI, OpenAI APIs, or equivalent enterprise model platforms.\nStrong experience with RAG and Advanced RAG patterns, including query rewriting, multi-query retrieval, metadata filtering, hybrid search, reranking, contextual retrieval, citations, and grounded generation.\nHands-on experience with Agentic AI, AI agents, tool/function calling, structured outputs, agent orchestration, and multi-agent workflows.\nUnderstanding of Model Context Protocol (MCP), including MCP hosts, clients, servers, tools, resources, prompts, authentication, authorization, and secure enterprise integration.\nExperience with prompt engineering and context engineering, including system instructions, few-shot examples, context-window management, memory, and output schemas.\nStrong understanding of embeddings, semantic search, vector search, similarity search, hybrid retrieval, reranking models, and retrieval-quality optimization.\nExperience with vector stores and search platforms such as Azure AI Search, PostgreSQL/pgvector, Redis, Pinecone, Qdrant, Weaviate, or equivalent.\nExperience with document ingestion and knowledge pipelines, including PDF/Office document parsing, OCR, chunking, metadata extraction, indexing, and access-control-aware retrieval.\nExperience with AI frameworks such as Microsoft Semantic Kernel, LangChain, LangGraph, AutoGen, or equivalent orchestration technologies.\nExperience building APIs and microservices using FastAPI, Flask, REST, JSON, asynchronous programming, background workers, and message queues.\nExperience with Microsoft Azure services and cloud-native application architecture.\nExperience with AI evaluation and Evals, including groundedness, faithfulness, retrieval precision/recall, answer relevance, hallucination detection, regression testing, and LLM-as-a-Judge approaches.\nExperience with LLMOps/GenAIOps, including model configuration, prompt versioning, experiment tracking, tracing, monitoring, telemetry, quality gates, and release management.\nAbility to optimize model selection, token usage, context size, latency, throughput, caching, reliability, and inference cost.\nKnowledge of Responsible AI, AI governance, privacy, data isolation, PII handling, content safety, and enterprise data-protection requirements.\nKnowledge of AI security risks, including the OWASP Top 10 for LLM Applications and controls for prompt injection, data leakage, unsafe outputs, and excessive agency.\nExperience implementing identity and access controls using OAuth 2.0, OpenID Connect, SSO, JWT, RBAC, managed identities, Key Vault, and secrets management.\nExperience with Git, GitHub, pull requests, code review, automated testing, CI/CD, GitHub Actions, or Azure DevOps.\nExperience with Docker, containers, and production deployment; Kubernetes experience is preferred.\nStrong debugging and root-cause-analysis skills across LLM, agent, RAG, application, API, cloud, data, and integration layers.\nGood to Have\nAzure AI Foundry, Azure OpenAI, Azure AI Search, Azure Machine Learning, and Microsoft Semantic Kernel.\nGraph RAG, knowledge graphs, entity extraction, graph databases, and knowledge-grounded reasoning.\nMultimodal AI involving text, images, audio, video, document intelligence, OCR, and vision-language models.\nModel fine-tuning, adapters, synthetic-data generation, distillation, model routing, and small language models.\nAI observability and evaluation platforms such as Azure AI Foundry evaluations, MLflow, OpenTelemetry, LangSmith, or equivalent.\nPostgreSQL, pgvector, Redis, Cosmos DB, data lakes, event streaming, and message-broker technologies.\nInfrastructure as Code using Terraform, Bicep, or equivalent.\nAutomated UI/API testing using Playwright, Pytest, contract testing, and security testing.\nGitHub Copilot and AI-assisted software development workflows.\nExperience applying AI to cybersecurity, DevSecOps, vulnerability management, threat analysis, application security, or security automation use cases.\nDesired Competencies\nStrong hands-on engineering, coding, debugging, and system-design capability.\nAbility to quickly understand unfamiliar business domains, architectures, codebases, data sources, and integration constraints.\nStrong customer and stakeholder engagement with the ability to explain complex AI concepts clearly.\nComfort operating in ambiguous, fast-moving environments while maintaining engineering discipline.\nSelf-driven ownership mindset with accountability for measurable outcomes, not only activity completion.\nAbility to balance AI capability with security, reliability, performance, scalability, cost, maintainability, and business value.\nAbility to move effectively between code-level troubleshooting, architecture discussions, stakeholder discovery, and production operations.\nAbility to rapidly prototype without compromising production engineering, security, governance, and operational-readiness standards.\nWeekly Hours:\n40Time Type:\nRegularLocation:\nIND:AP:Hyderabad / Argus Bldg 4f & 5f, Sattva, Knowledge City- Adm: Argus Building, Sattva, Knowledge City, IND:KA:Bangalore / Intl Tech Park, Navigator Bldg, Whitefield Road: Intl Tech Park, Navigator Bldg:Intl Tech Park, Navigator BldgAT&T and its subsidiaries are committed to equal employment opportunity. All hiring, promotion, and other employment decisions remain merit-based and free from discrimination on the basis of race, color, religion, religious creed, national origin, ancestry, age, sex, sexual orientation, gender, gender identity, gender expression, physical disability, mental disability, pregnancy, medical condition, genetic information, marital status, citizenship status, military status, veteran status, or any other characteristic protected by federal, state, or local laws. In addition, AT&T will provide reasonable accommodations to qualified individuals with disabilities. AT&T is a fair chance employer and does not initiate a background check until an offer is made. Click here to learn more or request an application accommodation here.","description_format":"text","description_chars":9048,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"phd","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Mobile Networks","Broadband"],"lifecycle":[{"event":"open","at":"2026-11-10T13:46:28Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":26,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-11-11T01:10:25Z"},"pay":null,"html_url":"https://alion.io/job/att-sr-specialist-software-engineering-ai-forward-deployed-engineer","json_url":"https://alion.io/job/att-sr-specialist-software-engineering-ai-forward-deployed-engineer.json","meta":{"generated_at":"2026-11-11T01:10:25Z","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":173,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-12T00:00:00Z"}},"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":1753140},"rest":"https://alion.io/mcp/rest/get_company?id=1753140"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fatt-sr-specialist-software-engineering-ai-forward-deployed-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%2Fatt-sr-specialist-software-engineering-ai-forward-deployed-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%2Fatt-sr-specialist-software-engineering-ai-forward-deployed-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/att-sr-specialist-software-engineering-ai-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fatt-sr-specialist-software-engineering-ai-forward-deployed-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4017938}},{"tool":"search_jobs","arguments":{"company":"att.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4017938},"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. Docs: https://alion.io/developers"}}