{"id":1277015,"url":"https://alion.io/job/groundswell-applied-ai-engineer","title":"Applied AI Engineer","company":{"id":2913152,"name":"Groundswell","domain":"gswell.com","url":"https://alion.io/company/gswell-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","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":["Washington, United States","New York, United States","United States","Mexico","Georgia"],"countries":["US","MX","GE"],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":88177,"max":171637,"currency":"USD","period":"year","gross":null,"usd_annual":171637},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Function Calling","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"AWS","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Azure","optional":true},{"name":"LLM","optional":true},{"name":"OpenAI","optional":true},{"name":"ServiceNow","optional":true}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-10-01T00:29:07Z","board_verified":true,"closed_at":null,"days_open":10,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":10},"description":"Who Are We? \nGroundswell is a premier technology integrator and solution provider, resolutely committed to solving the most complex challenges facing federal agencies today. Our name, Groundswell, represents our commitment to be an unstoppable, seismic change in government. Ours is a small company culture with big company reach and results. Are you ready to be audacious, be bold and drive change at a rapid pace? Join us, where we’ll make a greater impact together.\nWhat You'll do:\nWe are looking for an engineer who can take a business problem, define both the requirements and the technical approach, and deliver the result, including recognizing when AI is not the right solution.\nThis is a hands-on role with substantial autonomy. You will own capabilities end to end, covering the discovery conversation, the design, the build, the evidence that the capability performs, and its operation after release. You’ll work ahead of the direction you are given rather than waiting for it.\nThe work spans client delivery, internal product development, rapid proofs of concept, and internal enablement. You should be comfortable moving between them, and comfortable being the most AI-literate person in a room that includes engineers, executives, and end users.\nThis is an emerging leadership role. You will be the person engineers consult when they are new to AI, and the person clients ask about what is coming next. Maintaining current knowledge of the field is part of the role rather than something done on your own time.\nResponsibilities\nLead requirements conversations with business and technical stakeholders, covering the workflow, the decision being supported, the current standard for acceptable results, and the constraints that were not raised initially.\nDefine the technical approach and defend it. Select the AI pattern appropriate to the problem, such as extraction, classification, summarization, retrieval, or an agentic workflow, rather than defaulting to the most sophisticated option available.\nRecommend against AI when a simpler solution is the right one. Rules, process changes, and improved interfaces are often the correct answer, and identifying that early is part of the job.\nDefine measurable success criteria before building, including accuracy targets, human review thresholds, acceptance conditions, and the definition of failure.\nBuild the complete capability rather than the AI components alone. This includes prompt and retrieval design, structured outputs, tool and function definitions, API integration, data handling, error states, and the user interface. Adoption usually depends on these supporting elements as much as on model performance.\nBuild evaluation sets from real data and measure against them. Iterate based on results rather than intuition, and determine when a capability is ready for deployment.\nMake and defend architecture decisions within your scope, weighing quality, cost, latency, security, and authorization constraints.\nOperationalize capabilities in the client environment, including governance, logging, and traceability requirements. Monitor quality, cost, latency, and drift after launch, and optimize as better or less expensive options become available.\nHelp clients understand what is possible. Anticipate needs, shape the next phase of work, and build the proof of concept that supports the case.\nMentor engineers who are new to AI through code review, pairing, and guidance toward the appropriate pattern for a given problem.\nMaintain current knowledge of models, tooling, and techniques, and bring back what proves useful as reusable patterns for the team.\nMove between client delivery, internal product work, rapid proofs of concept, and internal enablement as the work requires.\nProduce clear documentation covering what the solution does, its known limitations, how it was validated, and what happens when it produces an incorrect result.\nRequired qualifications\n4+ years building and shipping production software.\nAt least 1 year of hands-on experience building applications that integrate large language models, including prompt engineering, retrieval-augmented generation, structured extraction, tool use, and agent patterns.\nDemonstrated ability to own a capability end to end, from an ambiguous requirement through to something in production that people rely on.\nDemonstrated experience evaluating AI system quality, including building test sets, defining metrics, and making deployment decisions based on evidence.\nStrong programming ability in a general-purpose language such as Python, TypeScript, or SQL, applied across the full application rather than the AI layer alone.\nProven ability to lead requirements conversations with non-technical stakeholders and translate what you hear into a technical approach.\nSound judgment on tradeoffs between accuracy, cost, latency, and complexity, with the ability to explain those tradeoffs to both engineers and executives.\nExcellent written communication. This role produces client-facing documentation and design rationale.\nAbility to work independently through ambiguous requirements, define an appropriate technical approach, and drive work through implementation and delivery with minimal direction.\nWillingness to teach. Developing the capability of others is valued alongside individual delivery.\nU.S. Citizenship required. Ability to obtain and maintain any federal government background investigation, suitability determination, or security clearance required by assigned client engagements.\nPreferred qualifications\nMaster’s degree in a relevant field such as Data Science, Business Analytics, Mathematics, or Computer Science.\nExperience with a low-code or application platform such as Appian, OutSystems, Mendix, Microsoft Power Platform, ServiceNow, or Salesforce.\nPublic sector or regulated-industry delivery experience, including compliance and authorization processes.\nExperience with cloud AI services such as AWS Bedrock or Azure OpenAI.\nFamiliarity with LLM evaluation or observability tooling.\nPrior consulting, solutions engineering, professional services, or embedded client work.\nSkills:\nCertification:\nWhy You’ll Never Want to Leave:\nComprehensive medical, dental, and vision plans \nFlexible Spending Account \n4% 401K Match (immediate vesting) \nPaid Time Off \nTuition reimbursement, certification programs, and professional development\nFlexible work schedule\nOn-site gym and childcare option \nThe salary range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. At Groundswell, it is not typical for an individual to be hired at or near the top of the range for their role, and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is:\n$88,177.00 - $171,637.00NOTE: Groundswell does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Groundswell, and Groundswell will not be obligated to pay a placement fee.\nEqual Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.\nRead a copy of the Company’s Non-Discrimination Policy Statement.\nAdditional Resources:\nEO 13496 Notification of Employee Rights under NLRA\n\nKnow your rights: Workplace Discrimination is Illegal\n\nDisability Accessibility Accommodation: If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact us at  or 703-639-1777.","description_format":"text","description_chars":8162,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Flexible schedule","Professional development"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Government"],"lifecycle":[{"event":"open","at":"2026-09-26T02:00:41Z"}],"liveness":{"score":89,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.886,"p_room":1,"age_days":10,"expected_fill_days":38,"reasons":["conf:5","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":171637,"is_top_pay":false},"html_url":"https://alion.io/job/groundswell-applied-ai-engineer","json_url":"https://alion.io/job/groundswell-applied-ai-engineer.json","meta":{"generated_at":"2026-10-01T11:02:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2401,"day_limit":5000,"remaining_today":2599,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}