Forward Deployed AI Engineer at Resultant

Chicago, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Oct, 26

Salary

0.0

Posted On

14 Jul, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Agentic AI, Cloud Architecture, Consulting, Python, SQL, API Design, CI/CD, Machine Learning, Prompt Engineering, Software Design, Data Pipelines, System Integration, Observability, Responsible AI, Technical Documentation, Stakeholder Management

Industry

Business Consulting and Services

Description

Company Description Resultant is a modern consulting firm with a radically different approach to solving problems. We don’t solve problems for our clients. We solve problems with them. Through outcomes driven by data analytics, technology solutions, digital transformation, and beyond, our team works with clients in both the public and private sectors to solve their most complex challenges. We start by learning as much as we can about who they are, how they work, and what they’re striving for so we can feel their problems as our own. Partnering with our clients means their desired outcomes are always top of mind, their challenges and strengths guiding our efforts. We build client-focused relationships before we build unique solutions that blaze past expectations. Originally founded in Indianapolis in 2008, Resultant now employs more than 400 team members who operate from offices around the United States including Indianapolis and Fort Wayne, Indiana; Columbus, Ohio; Lansing, Michigan; Denver, Colorado; Dallas, Texas and Atlanta, Georgia. We’re Resultant. Clients partner with us to see a difference. People join us to make one. Job Description As a Forward Deployed Engineer, you will embed with client and Resultant teams to turn ambiguous, high-value problems into secure, production-ready agentic AI, data, and software solutions. You will move fluidly from discovery and rapid prototyping through architecture, implementation, deployment, adoption, and operational handoff. This is a hands-on engineering and consulting role. You will write code, make technical tradeoffs visible, work directly with users and leaders, and measure whether what we build improves a real decision, workflow, or outcome. You will leave clients stronger - not only with a working solution, but with the documentation, knowledge, and ownership needed to sustain it. What you will do Partner with client stakeholders and end users to understand the real problem, map workflows and constraints, and translate needs into user stories, technical requirements, and measurable success criteria. Identify high-value AI, agentic, data, and application use cases; distinguish when an agent is - or is not - the right solution; define the value case and adoption measures; test assumptions quickly through working prototypes; and recommend whether to stop, refine, productionize, or scale. Design and build agentic systems, selecting appropriate models and orchestration patterns and implementing tool use, state and memory, evaluation, guardrails, human oversight, observability, security, and failure handling. Design and build end-to-end solutions across APIs, applications, data pipelines, analytics, AI/ML capabilities, system integrations, and cloud services, selecting technology based on client needs rather than vendor preference. Turn promising prototypes into dependable production systems through testing, automation, security and privacy controls, responsible AI practices, observability, performance, cost awareness, and operational runbooks. Lead technical workstreams, break ambiguous goals into executable increments, surface risks early, and deliver reliably within engagement commitments. Communicate architecture, tradeoffs, progress, and results clearly to technical and nontechnical audiences, including candid and respectful recommendations when evidence points to a different path. Work side by side with client teams through demos, pairing, documentation, training, workflow redesign, and change enablement so users adopt the solution and internal owners can operate it. Use feedback, usage signals, and outcome measures to improve adoption after launch. Collaborate with Resultant's data, cloud, application, security, product, change, project delivery, and industry experts to bring the right perspectives to each challenge. Capture repeatable patterns from engagements as reusable code, reference architectures, accelerators, or playbooks that improve quality and speed across future work. Qualifications Required capabilities At least 10 years of overall professional experience delivering technology solutions across cloud technologies and modern data platforms, including architecture, implementation, integration, deployment, and operational ownership. At least 5 years of consulting experience working directly with clients across both public- and private-sector domains. Demonstrated experience building and operating production solutions in software, data, ML, platform engineering, or a comparable technical discipline. Strong understanding of the agent-building landscape, including modern agent frameworks, frontier and open models, model-selection tradeoffs, tool use, orchestration, state and memory, evaluation, guardrails, human-in-the-loop design, observability, security, and cost/latency considerations. Hands-on experience designing, building, evaluating, and operating agentic systems with at least one modern framework. You should be able to explain why a particular framework or model is appropriate for a client's constraints rather than defaulting to a familiar tool. Experience connecting agent capabilities to business or mission value: selecting the right workflows, establishing baselines and success measures, redesigning work where needed, enabling users, and driving sustained usage and adoption. Strong fundamental understanding of programming constructs, software design, and application frameworks, with the judgment to select and structure languages, frameworks, repositories, interfaces, tests, and development tooling so coding agents can build, validate, debug, and maintain software efficiently and reliably. Experience designing or integrating APIs, working with SQL and data models, and using version control, automated testing, and CI/CD practices. Hands-on experience deploying to at least one major cloud platform - AWS, Azure, or Google Cloud - and working with core security, identity, networking, monitoring, and cost considerations. Experience taking an AI, data, or software capability beyond a demo into reliable use, including evaluation, failure handling, observability, and operational ownership. Evidence of working directly with clients, users, or cross-functional business stakeholders to discover needs, explain tradeoffs, and earn trust. Ability to structure ambiguous problems, learn a client's domain quickly, balance speed with engineering quality, and follow through on commitments. Clear written and verbal communication, including technical documentation and presentations for audiences with different levels of technical depth. Sound judgment with sensitive data, privacy, security, accessibility, and responsible use of AI. We care more about evidence that you can do this work than about a particular degree, pedigree, or exact vendor stack. If you meet most of the required capabilities and are excited by the mission, we encourage you to apply. Additional Information What It's Like to Work Here At Resultant, we are driven by purpose—partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience. Accountability & Ownership Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability: Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers Communicate proactively, especially when priorities shift Focus on outcomes, follow-through, and measurable impact Show up where it matters, in person or virtually, when it strengthens relationships or results Do the small things brilliantly: respond timely, stay organized, and follow through to build trust We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on. Is Resultant the right spot for you? You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other. Equal Opportunity Employer We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you — how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation. Department: PS_Engineering Team Business Unit: Professional Services

Responsibilities

Embed with clients to transform ambiguous problems into production-ready agentic AI and software solutions. Lead the full lifecycle from discovery and prototyping to deployment, operational handoff, and user adoption.