{"id":1264770,"url":"https://alion.io/job/bridgenext-ai-technical-lead","title":"AI Technical Lead","company":{"id":2442558,"name":"Bridgenext","domain":"bridgenext.com","url":"https://alion.io/company/bridgenext","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"iCIMS","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":266000,"period":"year","method":"global_role_seniority_cell","sample_n":773},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Function Calling","optional":false},{"name":"Git","optional":false},{"name":"Hallucination","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Microsoft Entra ID","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenAI","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"OWASP","optional":false},{"name":"PoC Library","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TypeScript","optional":false},{"name":"LLMOps","optional":true}],"status":"live","first_seen_at":"2026-09-25T22:01:31Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-29T16:34:21Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Company Overview\nAt Bridgenext, we engineer Growth Operating Systems. Most enterprises have spent millions on their revenue stack and still aren't seeing the growth they expected.They have tools that function, but no system that wins. We help growth-hungry companies close that gap by turning fragmented platforms, siloed teams, and disconnected data into one integrated Growth OS. More than a technology company or marketing agency, we're a global digital consultancy with experts in engineering, data, AI, creative and more.\nOur teams are made up of experts who believe in engineering impact, starting with putting people at the center of everything we do. Every team member directly shapes our work, culture, and values. Nothing matters more to us than a kind, respectful, fulfilling environment that supports everyone. Our flexible, inclusive culture gives you the autonomy, resources, and opportunities to thrive.\nPosition Description\nThe AI Technical Lead is a hands-on technical leadership role responsible for designing, developing, and delivering production-grade AI solutions. The role combines strong software engineering and solution architecture expertise with hands-on experience in Generative AI, LLMs, RAG, Agentic AI, Model Context Protocol (MCP), AI-enabled SDLC, and Microsoft Azure.\nThe Technical Lead will translate business requirements into scalable AI solutions, provide technical direction to engineering teams, establish reusable patterns and guardrails, and ensure solutions meet enterprise requirements for security, reliability, performance, observability, cost, and Responsible AI.\nKey Responsibilities & Technical Skills:\nDesign and deliver enterprise AI solutions using LLMs, RAG, Agentic AI, enterprise knowledge retrieval, and intelligent automation\nStrong hands-on experience with Azure OpenAI, Microsoft Foundry/Azure AI services, and frameworks such as LangChain/LangGraph, Semantic Kernel, LlamaIndex, or comparable technologies\nDesign prompt and context engineering, structured outputs, tool/function calling, agent orchestration, memory, and human-in-the-loop workflows\nDesign and implement MCP servers/clients to securely connect AI agents with enterprise applications, APIs, data, and tools\nStrong understanding of Microsoft Azure architecture, including Azure AI services, AI Search, API Management, App Services/Functions/Containers, Service Bus, Storage, databases, Key Vault, Entra ID, networking, monitoring, and CI/CD\nDesign secure, scalable, resilient, observable, and cost-effective cloud architectures using appropriate Azure patterns\nStrong software engineering experience with Python, C#/.NET, and/or TypeScript/JavaScript, including APIs, microservices, distributed systems, SQL/NoSQL, event-driven architecture, automated testing, Git, and CI/CD\nLeverage AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, or equivalent tools across design, development, testing, debugging, code review, documentation, and modernization\nEstablish AI evaluation practices covering accuracy, groundedness, relevance, hallucination, retrieval quality, safety, latency, and cost\nImplement AI security and guardrails addressing prompt injection, sensitive-data leakage, insecure tool execution, excessive agency, authentication/authorization, RBAC, and least privilege\nApply Responsible AI, OWASP LLM security guidance, and NIST AI RMF principles as appropriate\nEstablish observability for model/API performance, token consumption, cost, retrieval quality, agent/tool execution, failures, and AI quality\nProvide technical leadership to AI, software, and data engineers; translate architecture into implementable components and conduct architecture, design, and code reviews\nMentor engineers, establish AI engineering standards and reusable patterns, identify technical risks, and balance rapid experimentation with production engineering quality\nEvaluate emerging AI models, frameworks, protocols, coding agents, and open-source/commercial technologies through prototypes and technical assessments\nSupport client discussions, technical workshops, solutioning, demonstrations, and pre-sales activities as required\nWork Location: This is a remote role open to candidates based in LATAM and supporting US-based clients.Must Have Skills:\n8+ years of experience in software engineering, solution architecture, or technical leadership\nStrong hands-on experience with Microsoft Azure and enterprise application architecture\nDemonstrated experience designing and developing Generative AI/LLM solutions, including RAG and agentic AI\nExperience taking AI solutions from prototype/PoC through production deployment\nExperience with MCP, agent/tool integration, and enterprise AI integration\nHands-on experience using AI coding assistants and development agents throughout the SDLC\nStrong technical leadership, architecture, problem-solving, mentoring, and client communication skills\nBachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related discipline, or equivalent professional experience\nPreferred Skills:\nMicrosoft Azure Architecture or AI certifications\nExperience with enterprise RAG, knowledge architectures, and autonomous/semi-autonomous agents\nExperience implementing MCP-based enterprise integrations\nExperience with MLOps/LLMOps and AI evaluation/observability platforms\nExperience developing reusable AI accelerators, frameworks, or enterprise AI platform capabilities\nConsulting or client-facing AI solution delivery experience\nProfessional Skills:\nSolid written, verbal, and presentation communication skills\nStrong team and individual player\nMaintains composure during all types of situations and is collaborative by nature\nHigh standards of professionalism, consistently producing high quality results\nSelf-sufficient, independent requiring very little supervision or intervention\nDemonstrate flexibility and openness to bring creative solutions to address issues\nBridgenext is an Equal Opportunity Employer #LI-FR1#LI-REMOTE","description_format":"text","description_chars":6061,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-09-25T22:01:31Z"}],"liveness":{"score":99,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.993,"p_room":1,"age_days":5,"expected_fill_days":30,"reasons":["conf:37","urgency","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bridgenext-ai-technical-lead","json_url":"https://alion.io/job/bridgenext-ai-technical-lead.json","meta":{"generated_at":"2026-10-02T02:50:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3848,"day_limit":5000,"remaining_today":1152,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}