{"id":2048184,"url":"https://alion.io/job/reckitt-ai-solutions-engineer-experienced","title":"AI Solutions Engineer - Experienced","company":{"id":5727,"name":"Reckitt","domain":"reckitt.com","url":"https://alion.io/company/reckitt","size_band":"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":7,"ghost_share":0,"stale_share":0.714,"repost_share":0.143,"time_to_fill_p50_days":28,"computed_at":"2026-10-09T06:01:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Richmond, United States","Saint Louis, United States","Cleveland, United States","Philadelphia, United States","San Francisco, United States","New York, United States","Boston, United States","Minneapolis, United States","Atlanta, United States","Dallas, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":94600,"max":118200,"currency":"USD","period":"year","gross":null,"usd_annual":118200},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Lambda","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitLab","optional":false},{"name":"IAM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Amazon CloudWatch","optional":true},{"name":"Amazon ECS","optional":true},{"name":"Amazon EKS","optional":true},{"name":"Docker","optional":true},{"name":"FinOps","optional":true},{"name":"Grafana","optional":true},{"name":"JavaScript","optional":true},{"name":"Kubernetes","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"Machine Learning","optional":true},{"name":"Platform Engineering","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-10-07T20:43:05Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-10T01:47:09Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Company\nFederal Reserve Bank of RichmondWhen you join the Federal Reserve-the nation's central bank-you’ll play a key role, collaborating with leading tech professionals to strengthen and protect our economic, financial and payments systems. We invest in contemporary and emerging technology each year to support the Federal Reserve and our economy, and we’re building a dynamic and diverse team for our future.AI Solutions Engineer - Experienced\nIn this role you will be responsible for developing and maintaining enterprise-scale AI/ML solutions using Generative AI, Retrieval-Augmented Generation (RAG), and Agentic AI frameworks, combined with Infrastructure as Code and automation practices. You will participate in design and implement scalable, secure, and efficient AI-powered systems supporting critical business functions across the Federal Reserve System. This position requires a moderate level of experience and proficiency in AI/ML technologies, cloud infrastructure, and DevOps practices.\nInfrastructure Platforms & Operations:\nYou will be joining the Infrastructure, Platforms & Operations portfolio. This business line supports the strategic direction and product delivery for System IT infrastructure and operations, as well as the alignment of technology to business strategies. The team serves as the business partner for secure and reliable IT products, services, and operations.\nThis position does not sponsor employment visas. Candidates must be U.S. citizens or lawful permanent residents with at least three years of legal residency.\nWhy Join Us:\nLead significant AI infrastructure initiatives at a critical national institution supporting the nation's financial system\nWork with cutting-edge Generative AI, RAG, and Agentic AI technologies alongside modern automation frameworks\nOpportunity to architect and implement enterprise-scale AI solutions with real business impact\nMentorship opportunities with junior engineers while continuing to grow your own technical expertise\nExposure to diverse technology stacks and complex problem domains across multiple business lines\nCollaborative environment that values innovation, continuous improvement, and public service\nComprehensive benefits package, competitive compensation, and work-life balance\nProfessional development support including training, certifications, and conference attendance\nWhat You Will Do:\nAI Solution Architecture & Engineering\nDevelop conceptual, logical, and physical designs for AI/ML solutions using Terraform that support the infrastructure requirements of varying levels of technical and business application projects across AWS Cloud environments\nDesign and implement complex GenAI, RAG, and Agentic AI solutions leveraging AWS Bedrock and related AI/ML services, along with supporting compute, storage, networking, and security infrastructure\nArchitect RAG pipelines, vector database integrations, and multi-agent orchestration systems for production use cases\nComplete analysis of business requirements as they relate to AI solution design, and ensure traceability of the design to business requirements\nAssess testing requirements and prepare testing strategies, as well as implementation and transition plans for AI infrastructure changes\nPrepare detailed specifications and documentation from which AI infrastructure will be provisioned and maintained\nCI/CD & Automation\nDesign, implement, and maintain sophisticated CI/CD pipelines for automated testing, deployment, and infrastructure provisioning of AI solutions using GitLab\nDevelop and maintain complex automation scripts using Python or Bash to streamline model deployment, data pipelines, and manual processes to improve operational efficiency\nUtilize available tools for automation of manual processes, contributing to increased team productivity\nFollow and ensure adherence to technical standards for AI solution design and automation techniques\nProblem Resolution & System Reliability\nPerform resolution of complex AI infrastructure and application problems affecting system operations; initiate problem avoidance actions\nAnalyze and revise existing system logic, AI pipeline patterns, and documentation as necessary\nRecommend solutions to minimize and/or prevent system interruption based on trend analysis and proactive system checks\nSupport system health and performance reviews to help ensure reliability of deployed AI solutions\nApplication Development & Integration\nDevelop user interfaces and internal tools using React for AI front end, monitoring solutions, and administrative applications\nBuild and maintain APIs and integration services to support AI solution automation and orchestration\nDesign, code, test, debug, document, and maintain moderately complex software enhancements to support AI infrastructure and pipelines\nProject Leadership & Collaboration\nMay indirectly lead moderately complex AI infrastructure projects and participate on technical/complex cross-functional projects\nProvide project updates and prepare management reports as required, tailored for both technical and business audiences\nWork and collaborate as part of an Agile team to develop and implement AI capabilities that enable business processes and decision-making\nTrain technical staff on use of AI tools, Terraform, CI/CD pipelines, and related platforms in accordance with required standards and procedures\nParticipate in design reviews, architecture discussions, and provide technical mentorship to junior engineers\nGovernance & Compliance\nPerform change and problem management using standard tools, following FRIT change management policies and procedures for AI infrastructure propagation to other platforms and/or environments\nContribute to development and revision of department standards, procedures, and best practices\nAssist with monitoring compliance with internal audit requirements and Information Security Manual guidelines\nEnsure AI solution implementations adhere to security best practices, responsible AI principles, compliance requirements, and cost optimization strategies\nKnowledge And Skills:\nRequired:\nProgressive experience building GenAI, RAG, and Agentic AI solutions, including prompt engineering, RAG pipeline design, and agent orchestration frameworks\nHands-on experience with AWS Bedrock and related AI/ML services\nStrong programming skills in Python and Bash for automation, scripting, AI/ML tooling, and API development\nAdvanced proficiency in Cloud infrastructure provisioning tools, specifically Terraform, including module development and state management\nProgressive experience using core AWS services to build and support cloud solutions leveraging architecture best practices (EC2, S3, Lambda, VPC, IAM, RDS, Systems Manager)\nStrong proficiency in CI/CD and deployment automation using GitLab pipelines\nProficiency in React for frontend development of internal tools and administrative interfaces\nStrong understanding of version control systems (Git), branching strategies, and collaborative development workflows\nExperience with SQL and NoSQL databases, data modeling, and performance optimization\nNice to Have:\nExperience with vector databases, embedding models, and semantic search implementations\nExperience integrating advanced agentic frameworks (e.g., LangChain, LangGraph, or similar) into production systems\nExpertise in containerization technologies (Docker, ECS, EKS) and container orchestration\nUnderstanding of FinOps practices and cloud cost optimization\nFamiliarity with security scanning tools and DevSecOps practices\nExperience with disaster recovery planning and implementation\n General familiarity with observability and monitoring practices (e.g., logging, metrics, tracing, alerting) and related tools such as CloudWatch, Grafana, or similar platforms\nQualifications:\n3-5 years of relevant work experience in AI/ML engineering, cloud infrastructure, DevOps, or platform engineering\nMinimum bachelor's degree in computer science, Information Technology, Engineering\nCertifications related to Information Technology or AI/ML strongly preferred:AWS Certified Solutions Architect - Associate or Professional\nAWS Certified Machine Learning or AI Practitioner\nHashiCorp Certified: Terraform Associate or higher\nAWS Certified DevOps Engineer - Professional\n\nTechnical Competencies:\nProgressive knowledge of AI/ML system architecture, cloud computing concepts, microservices, and distributed systems\nStrong understanding of networking fundamentals, security principles, system design, and scalability considerations for AI workloads\nAdvanced problem-solving skills with ability to debug complex technical issues across AI pipelines and multiple layers of the stack\nAbility to interpret and apply technical standards for programming and infrastructure design techniques\nExperience with Agile methodologies, sprint planning, and iterative development\nGeneral awareness of performance measures, metrics, and system health indicators (nice to have)\nProfessional Competencies:\nStrong interpersonal, negotiation, creativity, and attention to detail skills\nExcellent oral and written communication skills tailored for the intended audience, including executives, business stakeholders, and technical teams\nDemonstrated ability to lead technical discussions and influence architecture decisions\nProven track record of delivering AI/infrastructure projects on time and within scope\nStrong mentorship and knowledge-sharing abilities\nUnderstanding and application of risk management discipline in decision-making, particularly regarding responsible AI use\nWorks under direction with infrequent checks; makes independent decisions based on established methods and policies\nAdditional Information:\nHours: May require extended work hours for deployments, maintenance windows, or incident response\nAvailability: May be subject to on-call rotation and callback as needed for production support\nTravel: Occasional travel including overnight stays may be necessary for training, conferences, or cross-site collaboration\nThe full salary range for the Engineer, Experienced job profile:\n$94,600- $118,200- $153,700\nThe candidate’s new job title and associated pay range will be determined by the employing District, and they will be subject to the employing District’s people policies and practices.\nAs a Federal Reserve System National Business Line, it is standard practice to post System IT positions in multiple Districts to provide transparency and equitable opportunities. Internal candidate(s) selected for this position will remain employed by their current employing District and serve as an employee of System IT*.\n*Current remote employees will not be guaranteed to keep their remote status with their employing bank. The selected candidate will reside within a reasonable commuting distance, as defined by the employing Reserve Bank, and will work full-time onsite.\nEligible Locations for Hire: Boston, MA- New York, NY- Philadelphia, PA- Cleveland, OH- Richmond, VA- Atlanta, GA- Chicago, IL- St. Louis, MO- Minneapolis, MN- Kansas City, MO- Dallas, TX- San Francisco, CA OR \nThe following Reserve Bank locations are preferred due to the concentration of System IT team members in these locations: Atlanta, Boston, Chicago, Kansas City, Minneapolis, New York, Richmond, and San Francisco. (example for limited posting locations) \nScreening:\nThis position has additional screening requirements due to the information accessed while performing the job. These additional screenings would be initiated at the time of offer acceptance and could take up to a couple of months to be completed. You can begin work before the screening is completed; however, continued employment is contingent on acceptable screening results. The areas screened may include education/employment verification, criminal history, credit history, and reference checks.\nOur total rewards program offers benefits that are the best fit for you at every stage of your career:\nComprehensive healthcare options (Medical, Dental, and...","description_format":"text","description_chars":12966,"description_truncated":true,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"},{"name":"Texas","iso":null,"kind":"city"},{"name":"Virginia","iso":null,"kind":"city"},{"name":"Illinois","iso":null,"kind":"city"},{"name":"Missouri","iso":null,"kind":"city"},{"name":"Pennsylvania","iso":null,"kind":"city"},{"name":"Massachusetts","iso":null,"kind":"city"},{"name":"Minnesota","iso":null,"kind":"city"},{"name":"New York","iso":null,"kind":"city"},{"name":"Ohio","iso":null,"kind":"city"},{"name":"Oregon","iso":null,"kind":"city"},{"name":"Georgia","iso":null,"kind":"city"},{"name":"California","iso":null,"kind":"city"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cleaning & Household Products","Personal Hygiene & Toiletries","OTC & Consumer Health Products","FMCG & Consumer Brand Groups"],"lifecycle":[{"event":"open","at":"2026-10-07T20:43:05Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":28,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-10-09T06:01:00Z"},"pay":{"stated_usd_annual":118200,"is_top_pay":false},"html_url":"https://alion.io/job/reckitt-ai-solutions-engineer-experienced","json_url":"https://alion.io/job/reckitt-ai-solutions-engineer-experienced.json","meta":{"generated_at":"2026-10-10T02:15:45Z","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","counted_by":"address","units_charged":1,"used_today":4097,"day_limit":5000,"remaining_today":903,"minute_limit":60,"resets_at":"2026-10-11T00:00:00Z"}},"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":5727},"rest":"https://alion.io/mcp/rest/get_company?id=5727"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Freckitt-ai-solutions-engineer-experienced"},{"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%2Freckitt-ai-solutions-engineer-experienced"},{"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%2Freckitt-ai-solutions-engineer-experienced"},{"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/reckitt-ai-solutions-engineer-experienced\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Freckitt-ai-solutions-engineer-experienced"}]}