\\\\AI Engineer\\\\ \\\\Anywhere\\\\ \\\\Type:\\\\ Contract-to-Hire \\\\Category:\\\\ Development \\\\Industry:\\\\ Government \\\\Workplace Type:\\\\ Remote \\\\Reference ID:\\\\ JN -012026-105016 \\\\Date Posted:\\\\ 01/13/2026 \\\\Shortcut:\\\\ \\+ Description \\+ Recommended Jobs \\\\Description:\\\\ \Remote\\ Our client seeks an innovative, hands-on AI Engineer to develop prototypes that solve business problems and integrate AI, ML, and NLP solutions within cloud native environments. The role emphasizes prompt engineering for LLM refinement and collaboration with an energetic team addressing customer challenges through advancing technologies. \Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident. Due to federal security clearance requirements, applicant must be a United States Citizen or Permanent Resident with an active Public Trust clearance. This is a contract to hire opportunity. Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.\\ Rate: $55.00 to $60.00/hr. w2 \\\\Responsibilities:\\\\ \\\\Responsibilities\\\\ \\+ Operate and maintain an innovation lab for ideation, design, and engineering of cloud native product modernization using emerging technologies. \\+ Develop end-to-end plans for cloud native AI, ML, and NLP innovations compliant with cybersecurity policies. \\+ Engineer pilots, prototypes, and proof of concept solutions to validate emerging technology opportunities. \\+ Optimize LLM responses through iterative prompt engineering refinement. \\+ Implement transparency, traceability, and security handling aligned to best practices and compliance standards including ATO certifications. \\+ Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems. \\+ Develop low-risk implementation plans and present briefings, recommendations, and demonstrations to executives and technical stakeholders based on data architecture best practices. \\+ Collaborate with data engineering, product, and business stakeholders to translate requirements into data-driven solutions. \\+ Conduct exploratory data analysis and generate actionable insights from large and complex datasets. \\+ Support total experience initiatives including customer experience, user experience, and human centered design through focus groups, metrics, wireframes, mockups, and information architecture. \\+ Develop reusable code libraries and best practices for modernization and innovation development and deployment. \\+ Mentor junior data scientists and guide adoption of new technologies and techniques. \\+ Stay current with advancements in data science, machine learning, AI research, and cloud architectures. \\+ Support Agile product teams in integrating and operationalizing emerging technologies and data strategies. \\+ Analyze data and usage to find patterns and solutions to business challenges. \\\\Experience Requirements:\\\\ \\\\Experience Requirements\\\\ \\+ Minimum 8 years of experience in data science, analytics, machine learning, artificial intelligence, or a similar role. \\+ Experience across data analytics, data modeling, machine learning, natural language processing, security, and AI technologies in cloud native environments (AWS, Azure, Google). \\+ Strong experience in prompt engineering to refine LLM responses. \\+ Track record delivering AI, ML, and NLP innovations and data-driven solutions in cloud native environments. \\+ Strong communication and teamwork abilities. \\+ Programming in Python, R, and SQL. \\+ Experience with AI, ML, and NLP frameworks, models, and tools. \\+ Experience with Terraform and GitLab Pipelines. \\+ Experience with machine learning and statistical tools including PyTorch. \\+ Experience with frontier models. \\+ Experience with Databricks. \\+ Data manipulation and analysis experience. \\+ Visualization with Tableau and Power BI. \\+ Big data and cloud platforms experience: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, and GCP. \\+ Version control and collaboration with Git and Docker. \\+ Ability to obtain and maintain a Public Trust clearance and continuous residency in the United States for the last 2 years. \\+ Experience with MLOps, model monitoring, and deployment pipelines. \\+ Experience with NLP, computer vision, or deep learning techniques. \\+ Experience with automation of DevSecOps pipelines. \\+ Experience with Agile and the Rally Agile management tool. \\\\Education Requirements:\\\\ \\\\Education Requirements\\\\ \\+ Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. Additional experience may substitute for educational requirements where appropriate. \\+ Familiarity with ATO certifications and applicable compliance standards. \\+ Must be able to obtain a public trust clearance. \\\\\Recruitment Transparency Notice\\\\\ \\\\\Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (\\\\\ \\\\\\\\\\\ \\\\\\ 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Groups use of these tools, including AI tools, as part of the application and hiring process.\\\\\* \Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.\\ \W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.\\ \Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact\\\\\ \\\\_ \About Eliassen Group:\\ \Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.\\ \Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.\\ \Dont miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!\\

The role requires a minimum of 8 years of experience in data science, analytics, machine learning, artificial intelligence, or a similar field. Experience is needed across data analytics, data modeling, machine learning, natural language processing, security, and AI technologies within cloud-native environments such as AWS, Azure, and Google. Strong experience in prompt engineering for LLM refinement is essential, along with a track record of delivering AI, ML, and NLP innovations and data-driven solutions. Proficiency in Python, R, and SQL is required, as is experience with AI, ML, and NLP frameworks, models, and tools. Experience with Terraform, GitLab Pipelines, PyTorch, Databricks, and data manipulation and analysis is also necessary. The position also requires experience with big data and cloud platforms like Hadoop, Hive, AWS, Azure, and GCP, as well as version control with Git and Docker. A Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field is required, though additional experience may substitute for educational requirements. Familiarity with ATO certifications and applicable compliance standards is also noted.