{"id":3225532,"url":"https://alion.io/job/raymond-james-lead-engineer-ai-developer-platform","title":"Lead Engineer — AI Developer Platform","company":{"id":1768977,"name":"Raymond James","domain":"raymondjames.com","url":"https://alion.io/company/raymondjames-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":25,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-10-27T05:46:45Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Saint Petersburg, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":258000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":782},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Datadog","optional":false},{"name":"Dynatrace","optional":false},{"name":"Jenkins","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Linux","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"SonarQube","optional":false},{"name":"Splunk","optional":false},{"name":"Trunk-Based Development","optional":false},{"name":"TypeScript","optional":false},{"name":"Windows","optional":false},{"name":".NET","optional":true},{"name":"Amazon Redshift","optional":true},{"name":"Angular","optional":true},{"name":"Azure","optional":true},{"name":"C#","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"React.js","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-27T04:55:19Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Job Description Summary\nNote: This position follows our hybrid-friendly schedule, so you get the best of both worlds - flexibility and collaboration. In office days are 3 days per week (including a Monday or Friday), in our St Petersburg, FL Corporate Office.This role is not eligible for Work Visa sponsorship, either currently or in the future.\nJob Description\nAbout the Role:\nWe are seeking a hands-on Lead Engineer to drive the technical vision and function as a process engineer utilizing our internal AI systems, platforms, and frameworks.\nAlready adopted by multiple engineering teams, our internal platform is expanding across the firm. We are focused on improving scalability, reliability, ease of adoption, and flexibility as AI technologies rapidly evolve. This role will lead the platform architecture, establish engineering standards, and deliver high-impact technical solutions.\nYou will spend your time coding, reviewing designs and pull requests, solving complex technical challenges, supporting production environments, and shaping long-term platform strategy. This is an ideal opportunity for a technical leader passionate about building tools that enable engineers to work smarter and faster.\nWhat You'll Do:\nSet the Technical Direction\nDefine and evolve the platform architecture, ensuring scalability, extensibility, and maintainability. \nDesign solutions that remain compatible across multiple AI providers, coding tools, and operating systems. \nEstablish engineering patterns and best practices for the broader team. \nDeliver High-Impact Solutions\nLead and contribute directly to key platform initiatives, including:\nStreamlining platform installation and onboarding across Windows and macOS. \nBuilding telemetry and reporting capabilities to provide visibility into AI usage, costs, and adoption. \nDeveloping secure, sandboxed environments for AI-assisted development and testing. \nExpanding AI agent capabilities, enterprise integrations, and business-domain knowledge resources. \nMaintain AI Platform Agility\nContinuously assess emerging AI models, developer tools, and orchestration technologies. \nRecommend and implement new capabilities while avoiding unnecessary vendor dependency. \nPartner with product leadership to evaluate capabilities and define future roadmap priorities. \nRaise the Engineering Bar\nEnsure high standards for code quality, testing, reliability, and operational excellence. \nLead code reviews and architectural reviews for core platform components. \nSupport incident response and continuous platform improvements. \nLead Through Influence\nProvide technical leadership across a distributed contributor model. \nFacilitate design reviews, solve complex technical challenges, and mentor engineers. \nFoster collaboration across engineering teams contributing to the platform. \nPartner with Platform Users\nEngage regularly with engineering teams using the platform. \nGather feedback, identify pain points, and translate insights into platform enhancements. \nCollaborate with stakeholders to prioritize investments and improve developer experience. \nWhat You Bring:\n8+ years of senior engineering experience building enterprise-grade software that other engineers or business teams depend on - internal platforms, large-scale services, developer tooling, SDKs, or similar systems.\nAt least 2 years of hands-on experience building solutions powered by large language models (LLMs) or AI agent frameworks. \nPrior experience building or extending agentic coding tools like Claude Code or OpenAI Codex, and IDEs like VS Code - or comparable tools. \nStrong proficiency in Python and working knowledge of Node.js and TypeScript. \nDirect experience designing or substantially extending integrations between AI coding tools and external systems (any of: Model Context Protocol servers, custom LangChain/LangGraph tools, Copilot extensions, JetBrains AI plugins, Cursor / Continue / Aider integrations). \nA working point of view on at least one production AI coding tool - enough to reason intelligently about prompt design, tool-use loops, context window economics, and where these systems tend to fail. \nExperience with more than one LLM provider and a clear position on building provider-agnostic abstractions so the platform isn't trapped on a single vendor's roadmap. \nCross-platform engineering experience across Windows, macOS, and Linux, including the realities of installers, path handling, shells, and credential storage on each. \nBackground in one or more of the technology stacks our application teams use (Python, Java/Spring, Angular, React, .NET, Oracle, Redshift, SQL Server) - enough to be credible reviewing stack-specific contributions. \nA track record of shipping infrastructure that other engineers depend on every day, and being accountable when it breaks. \nComfort working in a regulated environment - financial services - with the discipline that implies around secrets, data classification, change management, and auditability, and practical experience with the security and data-protection concerns specific to LLM systems: prompt-injection mitigation, secret-leak prevention through prompts and tool outputs, PII redaction, and trust boundaries around model output. \nDeep, hands-on knowledge of the software development lifecycle and modern engineering methodologies - agile, trunk-based development, code review, CI/CD, and observability-driven operations - and experience operating in a mature CI/CD and observability environment (e.g., Azure DevOps, Jenkins, SonarQube, and a log or APM platform such as Splunk, Datadog, or Dynatrace). \nDemonstrated technical leadership without direct authority - you have written architecture decision records that drove real consensus, presented technical direction to senior engineering and business leadership, and mentored other senior engineers (not just juniors) into stronger work. \nPrior work on agent evaluation - golden task sets, regression suites, judge models, or other ways of measuring whether an AI workflow is actually getting better over time. \nActive engagement with the developer-tools, AI agents, or AI/ML open-source community - substantive contributions, conference talks, or published writing that demonstrates depth and a public point of view. \nLicenses/Certifications:\nNone required. \n Education\nBachelor’s - Completed: Computer and Information Science, High School (HS) - Completed (Required)Work Experience\nGeneral Experience - 3 to 6 yearsCertifications\nTravel\nLess than 25% Workstyle\nHybridThe total compensation for this position includes base salary or wages, andmay include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.\nAt Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view. \nWe expect our associates at all levels to:\nGrow professionally and inspire others to do the same\nWork with and through others to achieve desired outcomes\nMake prompt, pragmatic choices and act with the client in mind\nTake ownership and hold themselves and others accountable for delivering results that matter\nContribute to the continuous evolution of the firm\nAt Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. 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