{"id":2192936,"url":"https://alion.io/job/inspyr-solutions-website-senior-ai-engineer","title":"Senior AI Engineer","company":{"id":3872763,"name":"INSPYR Solutions","domain":"inspyrsolutions.com","url":"https://alion.io/company/inspyr-solutions","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":{"grade":"B","score":75,"open_postings":132,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-19T05:45:15Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Miramar, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1213},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon EC2","optional":false},{"name":"Amazon S3","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"AWS Step Functions","optional":false},{"name":"Claude Code","optional":false},{"name":"Databricks","optional":false},{"name":"GitHub","optional":false},{"name":"GraphQL","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"MLlib","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Rest API","optional":false},{"name":"spaCy","optional":false},{"name":"Anthropic","optional":true},{"name":"AutoGen","optional":true},{"name":"Bootstrap","optional":true},{"name":"CI/CD","optional":true},{"name":"CrewAI","optional":true},{"name":"Delta Lake","optional":true},{"name":"Figma","optional":true},{"name":"Fine-tuning","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"LangGraph","optional":true},{"name":"LLM","optional":true},{"name":"MLFlow","optional":true},{"name":"OpenAI Agents SDK","optional":true},{"name":"pgvector","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Prompt Engineering","optional":true},{"name":"RAG","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true},{"name":"Spark","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-08-20T00:00:00Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-10T23:38:38Z","board_verified":false,"closed_at":null,"days_open":60,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":60},"description":"Title: Sr. AI Engineer \nLocation: Miramar, FL \nDuration: 6 months\nCompensation: $80- $88/hr\nWork Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.\nJob Description:\nThe Senior AI Engineer reports directly to the VP of AI and is responsible for leading and advancing enterprise-wide AI initiatives. This role leads the design, development, and deployment of end-to-end AI systems and intelligent agents that drive automation, decision-making, and business value at enterprise scale. Operating as a senior independent contributor, this role works comfortably across multiple concurrent initiatives - spanning AI architecture, model integration, and developer tooling - while collaborating with Data Scientists, Data Engineers, product owners, and business stakeholders to translate complex requirements into production-ready AI solutions. With deep expertise in enterprise AI architecture and hands-on proficiency with AI coding assistants such as Claude Code and Codex, this individual accelerates delivery velocity while maintaining rigorous engineering standards across the full AI development lifecycle.\nDuties and Responsibilities\nDesign, build, and deploy end-to-end AI systems - from data ingestion and model development through inference, monitoring, and continuous improvement\nArchitect and develop AI agents and multi-agent frameworks capable of reasoning, planning, and executing complex workflows autonomously\nBuild cohesive AI solutions through the orchestration and integration of Models, LLMs, agentic services, expert systems, and knowledge graphs\nLeverage AI coding assistants (Claude Code, GitHub Codex, and similar tools) to accelerate development, automate repetitive engineering tasks, and improve code quality across the team\nBuild and maintain scalable AI pipelines on Databricks and AWS, integrating with existing data infrastructure and enterprise systems\nDefine and implement enterprise AI architecture standards, patterns, and best practices across the organization\nEvaluate and integrate large language models (LLMs), foundation models, and generative AI capabilities into business applications\nCollaborate with Data Scientists to operationalize ML models and move experiments from prototype to production\nPartner with cross-functional teams across multiple simultaneous initiatives to scope, design, and deliver AI-powered solutions\nEstablish model monitoring, evaluation, and feedback loops to ensure AI systems remain accurate, safe, and performant in production\nStay current with the rapidly evolving AI landscape and proactively recommend new tools, frameworks, and approaches that improve outcomes\nMentor junior engineers and contribute to a culture of technical excellence, experimentation, and continuous learning\nPrepare technical documentation, architecture diagrams, and executive presentations to communicate AI strategy and results\nMinimum Qualifications/Requirements\nBachelor's degree in Computer Science, Engineering, Mathematics, or related field; master's degree preferred\n7+ years of experience in software or data engineering with at least 5 years focused on AI/ML systems development\nDemonstrated end-to-end experience building and deploying AI systems and AI agents in production environments\nProficiency with AI coding assistants such as Claude Code, GitHub Codex, or equivalent tools as part of an active development workflow\nHands-on experience with Databricks for model training, feature engineering, and pipeline orchestration\nSolid experience with AWS cloud services (SageMaker, Lambda, S3, EC2, Step Functions, or equivalent) for AI/ML workloads\nStrong Python skills including SparkSQL, MLlib, PyTorch, spaCy, and NLTK for NLP and ML model development\nExperience integrating AI systems via REST APIs, GraphQL, and OAuth for secure, scalable enterprise connectivity\nProven ability to operate as a senior independent contributor across multiple initiatives simultaneously without close supervision\nExperience designing enterprise AI architecture including APIs, orchestration layers, vector databases, and model serving infrastructure\nPreferred Skills\nExperience building multi-agent systems and knowledge graphs using frameworks such as LangGraph, AutoGen, CrewAI, or the Anthropic Agent SDK\nFamiliarity with front-end and visualization technologies including React/Native, Figma, Dash or similar, and Bootstrap for building AI-powered user interfaces and data applications\nFamiliarity with prompt engineering, retrieval-augmented generation (RAG), and fine-tuning techniques for production LLM applications\nExperience with MLOps practices including CI/CD for AI systems, model versioning, and automated evaluation pipelines\nKnowledge of vector databases such as Pinecone, Weaviate, or pgvector for semantic search and retrieval applications\nFamiliarity with data governance, AI safety, and responsible AI principles in enterprise settings\nExperience with Databricks Unity Catalog, Delta Lake, and MLflow for end-to-end model lifecycle management\nStrong communication and stakeholder management skills - able to present technical AI concepts clearly to both engineering teams and business executives\nAbility to evaluate build vs. buy tradeoffs for AI tooling and make architecture recommendations with long-term maintainability in mind\nExperience contributing to AI strategy, roadmap planning, and organizational AI adoption initiatives\nAttention to detail with a strong bias toward shipping reliable, well-documented, production-grade systems\nAbout INSPYR Solutions\nTechnology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.\n\nINSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, or any other protected status. INSPYR Solutions complies with all applicable laws governing nondiscrimination in employment in every location in which the company has facilities. Applicants requiring reasonable accommodation during the application or interview process should contact  for assistance.\nInformation collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions' Privacy Policy and INSPYR Solutions' AI and Automated Employment Decision Tool Policy: https://www.inspyrsolutions.com/policies/. 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