{"id":2443344,"url":"https://alion.io/job/ic3-senior-engineer-applied-artificial-intelligence","title":"Senior Engineer, Applied Artificial Intelligence","company":{"id":47671,"name":"IC3","domain":"ic3.gov","url":"https://alion.io/company/ic3","size_band":"501-1000","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":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Chicago, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":130900,"max":169400,"currency":"USD","period":"year","gross":null,"usd_annual":169400},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Context Engineering","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-13T22:15:59Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Job Description:\nBuilding trusted markets - powered by our people\nAt Cboe Global Markets, we inspire our people to solve complex challenges together because what we do matters. We provide the financial infrastructure that powers the global economy. As a leading provider of market infrastructure and tradable products, Cboe delivers cutting-edge trading, clearing and investment solutions to market participants around the world.\nWe’re building meaningful ways to support professional and personal development while strengthening the trust we’ve earned as a global market leader. Our teams are empowered to share ideas, actively pursue them and bring on a challenge. As champions of internal mobility and access to opportunity, we encourage our people to “go for it” and equip our managers with the training to coach their teams to the next level. We strive to provide employees a safe space to network, share ideas and create opportunities.\nTo support strong partnership and team connection, this role follows a four day in office work model.\nLocation Overview\nCboe HQ is located in the historic Old Post Office district, it’s a landmark that blends classic architecture with modern amenities. The building features expansive spaces with high ceilings and large windows, offering an abundance of natural light and panoramic views of the city skyline and the Chicago River.\nWith its prime location in the heart of downtown, the OPO Building provides easy access to major transportation hubs, including Union Station and multiple CTA lines, making it convenient for commuters. The building is home to a variety of amenities, including restaurants, a fitness center, and collaborative workspaces, creating a vibrant and dynamic work environment in one of Chicago's most iconic areas.\nRole Overview\nAs a Senior AI Engineer, you will play a central role in integrating AI into our core operations and developing AI-native products. You'll own the full lifecycle of AI initiatives from sitting with business stakeholders to scope and discover opportunities through to hands-on design, development, and deployment of production-grade systems. You won't just be building agents; you'll develop and define reusable services for agents across Cboe.\nThis is a high-ownership, high-impact role for someone who wants to operate independently, translate organizational strategy into concrete technical outcomes, and bring others along with them. You'll be expected to work independently and consider the impact of technology on strategy. You'll bring both deep technical expertise and strong communication skills.\nIn addition to pushing our AI initiatives forward, you'll mentor other engineers on the team and help establish the standard for how we build AI at Cboe.\nYour responsibilities will be:\nDesign, build, and deploy production-ready AI agents and agentic systems across Cboe's internal platforms and workflows.\nOwn scoping and discovery for AI initiatives - partnering directly with non-technical business stakeholders to understand needs and convert them into well-defined technical solutions.\nBuild and enhance Cboe's agentic control plane.\nApply context engineering principles (prompt design, memory architecture, retrieval strategy) to build reliable, high-performing AI systems.\nEstablish and uphold best practices for agent development, evaluation, and production observability.\nDrive architecture and design decisions for agentic systems, owning tradeoffs across scalability, reliability, and risk across multiple teams.\nDesign and implement benchmarking and evaluation frameworks to measure and continuously improve AI system performance.\nTranslate Cboe's AI strategy into executable, prioritized technical work.\nLead technical design reviews and mentor engineers across the team, setting the standard for how AI systems are built at Cboe.\nProduce clear technical documentation including scoping artifacts, design specs, and testing criteria.\nThe ideal candidate has\nEither: A Bachelor's or Master's degree in Computer Science, Engineering, or related field OR Equivalent demonstrated experience\n7-10+ years of relevant professional experience in software engineering, with increasing seniority\n3+ years of professional experience in applied AI (building agents, MCP servers, context/harness engineering)\nProven experience building and deploying AI solutions in production environments, including familiarity with agent frameworks and a clear understanding of what they do and why they matter\nHands-on experience building tools and integrations for LLM-based systems\nDeep proficiency in context engineering including prompt design, retrieval strategies, and memory/context management\nDemonstrated ability to work directly with non-technical stakeholders to scope AI opportunities and define technical requirements\nStrong programming skills (language agnostic, Python strongly preferred)\nExperience with LLM evaluation, observability, and benchmarking as core engineering practice\nAbility to work independently, manage ambiguity, and deliver results without close oversight\nTrack record of setting technical standards, leading design/architecture reviews, and mentoring engineers. This role carries a formal technical leadership expectation\nStrong written and verbal communication skills, particularly the ability to explain complex AI concepts to non-technical audiences\nYou'll really stand out if you have:\n10-15+ years of overall professional experience, including 5+ years in applied AI\nExperience in a consulting, platform, or internal services capacity and experience managing multiple workstreams\nPrior experience owning an AI scoping or discovery practice, not just executing against pre-defined specs\nFamiliarity with AWS and/or Snowflake in a production context\nExperience with NLP tasks such as summarization, classification, or entity extraction and their application in agentic contexts\nContributions to AI strategy, roadmap definition, or architectural decision-making at an organizational level\nBenefits and Perks of working for Cboe Global Markets\nWe value the total wellbeing of our people - including health, financial, personal and social wellness. We believe standard benefits like health insurance and fair pay are a given at any organization. Still, you should know we offer:\nFair and competitive salary and incentive compensation packages with an upside for overachievement \nGenerous paid time off, including vacation, personal days, sick days and annual community service days \nHealth, dental and vision benefits, including access to telemedicine and mental health services 2:1 401(k) match, up to 8% match immediately upon hire \nDiscounted Employee Stock Purchase Plan \nTax Savings Accounts for health, dependent and transportation Employee referral bonus program \nVolunteer opportunities to help you give back to your communities \nSome of our associates’ favorite benefits and perks include:\nComplimentary lunch, snacks and coffee in any Cboe office \nPaid Tuition assistance and education opportunities \nGenerous charitable giving company match \nPaid parental leave and fertility benefits \nOn-site gyms and discounts to other fitness centers \nPaid Time Off\nMore About Cboe Global Markets\nWe’re reimagining the future of the workplace by focusing on what matters most, our people. Our journey is an inclusive one. We’re investing deeply in leadership programs and career development initiatives that ensure everyone has an equal chance to succeed.\nWe work with purpose, solving problems with ingenuity, collaboration, and a lot of passion. We’re an engaged and excited team connecting markets across borders and embracing growth in all its forms to achieve incredible outcomes.\nLearn more about life at Cboe on our website and LinkedIn.\nEqual Employment Opportunity\nWe're proud to be an equal opportunity employer do not discriminate against any employee or applicant for employment based on any legally protected characteristic, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. We are committed to fostering a workplace where all individuals are valued and respected.\n#LI-CP1\nThis position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.\nSalary Ranges (applicable for US locations only)\nAt Cboe, we are committed to providing a competitive, transparent, and market-informed total rewards program. The anticipated base salary range for this role is $130,900-$169,400, with actual compensation determined by job-related factors such as skills, relevant experience, education, internal alignment, and location.This role may also be eligible for annual incentive compensation and, where applicable, participation in Cboe's long-term equity programs.\nAdditional information about Cboe's total rewards program, including benefits and other compensation components, can be found here: Total Rewards at CBOE.\nAny communication from Cboe regarding this position will only come from a Cboe recruiter who has a @cboe.com email or via LinkedIn Recruiter. 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