{"id":2532231,"url":"https://alion.io/job/intertwine-associates-senior-ai-data-engineer-data-platforms-machine-learning-applied-ai-2","title":"Senior AI / Data Engineer: Data Platforms, Machine Learning & Applied AI","company":{"id":4413351,"name":"Intertwine Associates","domain":"intertwineassociates.com","url":"https://alion.io/company/intertwine-associates","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Rippling","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":130000,"max":175000,"currency":"USD","period":"year","gross":null,"usd_annual":175000},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Azure SQL Database","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FedRAMP","optional":false},{"name":"GCP","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-09-30T00:36:45Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-18T12:32:33Z","board_verified":true,"closed_at":null,"days_open":18,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":18},"description":"Explore what happens when ideas Intertwine\nAt Intertwine Associates, we live by a simple promise: We show up ready to work. We partner with organizations across government, management, strategy, and technology to deliver operational efficiency and measurable impact. Our focus is on practical solutions, tailored frameworks, and innovation that drives meaningful results. Join a team where expertise meets execution, and where your work truly matters. Read more here: www.intertwineassociates.com\nKey Role:\nWork in a dynamic, fast-paced environment as a Senior AI / Data Engineer supporting federal agencies and other clients. Lead the design and delivery of the data platforms, machine learning systems, and AI applications that turn client data into decisions, and set the engineering standards other engineers follow.\nStrong client or customer engagement is required in this role. You will work directly with client program leadership, architects, data scientists, and governance teams, advise on technical direction, and represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment at every touchpoint. This is a remote position with occasional travel. Assignments are matched to client needs and to each candidate's expertise and eligibility.\nKey Responsibilities:\nArchitect and lead the delivery of enterprise data platforms and pipelines on Azure (Data Lake Storage, Azure SQL, Data Factory, Microsoft Fabric / Foundry) or equivalent cloud services.\nSet standards for ETL design, schema enforcement, data validation, quality checks, and lineage, and review other engineers' work against them.\nDesign, build, and deploy machine learning and AI solutions, including applications built on large language models such as retrieval-augmented generation, document understanding, and agentic workflows, with evaluation and guardrails.\nBuild secure API endpoints and microservices that make data and models available to analytics and ML platforms.\nEstablish MLOps practices: experiment tracking, model registries, CI/CD, containers, monitoring, and cost and performance tuning.\nApply data and AI governance for compliance, reproducibility, auditability, and responsible AI, including federal frameworks such as the NIST AI Risk Management Framework.\nTranslate mission and business needs into technical roadmaps, estimates, and briefings for client leadership.\nMentor engineers and data scientists and lead technical work across multidisciplinary teams.\nBasic Qualifications:\n7+ years of experience building data pipelines, machine learning systems, or AI applications in production, including 2+ years leading technical work.\nExpert Python (including Pandas and NumPy) and advanced SQL, with experience integrating relational and unstructured sources.\nDeep hands-on experience with Azure data services, or equivalent depth in AWS or Google Cloud.\nProduction experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.\nExperience with data validation, schema enforcement, quality assurance, and governance in regulated environments.\nExperience designing APIs and microservices for analytics and ML platforms.\nExcellent written and verbal communication, including briefing senior, non-technical audiences.\nU.S. citizenship or lawful permanent residency may be required per contract.\nAbility to obtain a federal government Public Trust or security clearance where the assignment requires one.\nAdditional Qualifications:\nBachelor's or advanced degree in Computer Science, Data Science, Statistics, Engineering, or a related field, or equivalent professional experience.\nExperience building applications on large language models: retrieval-augmented generation, embeddings and vector databases, evaluation, and guardrails.\nMicrosoft certifications such as Azure Data Engineer, Azure AI Engineer, Fabric Data Engineer, or Azure Solutions Architect, or equivalent AWS or Google Cloud certifications.\nExperience with Databricks, Snowflake, Microsoft Fabric, or similar modern data platforms at enterprise scale.\nFamiliarity with FedRAMP, FISMA, and federal data security requirements.\nExperience supporting a federal agency, or health, scientific, or research data.\nAn active federal Public Trust or security clearance.\nIntertwine Associates LLC - Equal Employment Opportunity Statement\nIntertwine Associates LLC is an Equal Opportunity Employer. We are committed to fostering a diverse and inclusive workplace where all individuals are treated with respect and dignity. Employment decisions at Intertwine Associates LLC are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, marital status, veteran status, citizenship status, or any other characteristic protected by applicable federal, state, or local laws.\nWe comply with all applicable laws governing nondiscrimination in employment and strive to ensure that our workplace reflects the values of fairness, equity, and opportunity. All qualified applicants will receive consideration for employment without regard to any protected status. We also prohibit retaliation against individuals who report discrimination, participate in investigations, or otherwise exercise their rights under equal employment laws.\nIntertwine Associates LLC is proud to support the mission of our clients, including U.S. Federal Government agencies, by providing exceptional technical talent and services. As such, certain roles may require U.S. citizenship or specific security clearances in accordance with federal contract requirements.\nCompensation, Bonuses, and Other Incentives:\nIntertwine Associates LLC offers a competitive compensation package. The anticipated base salary range for this position is $130,000-$175,000 per year. This range is a good-faith estimate at the time of posting and reflects the base salary the company reasonably expects to offer for this role. Actual base salary will be determined based on lawful, job-related factors, including education, experience, specialized expertise, credentials, geographic location, scope of responsibilities, internal equity, client and contract requirements, and funding availability.\nThis position may be eligible for discretionary bonuses, signing or retention incentives, or other variable compensation, as stated in the applicable written offer or plan documents. Any bonus or incentive is not guaranteed and is subject to applicable plan terms, individual and company performance, client or contract requirements, funding availability, and applicable law. Bonuses and other incentives are separate from base salary and may be modified or discontinued. The salary range does not include potential bonuses, other incentive compensation, or benefits. Nothing in this posting creates an employment contract or guarantees any specific salary, bonus, incentive, benefit, or term of employment.\nBenefits:\nIntertwine Associates LLC offers eligible full-time employees medical, dental, and vision insurance; a 401(k) retirement savings plan with company matching; flexible paid time off, plus paid sick leave and other paid leave as required by applicable law; and professional development and continuing education opportunities.\nApplication Deadline:\nThere is no application deadline for this position. Applications are accepted on an ongoing basis and are reviewed on a rolling basis as they are received.\nConsideration for Other Positions:\nApplicants for this position may also be considered for other open positions at Intertwine Associates LLC with similar requirements. 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