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AI Automation Engineer

Datasite

USA - MN - Minneapolis; Remote USA, Texas; Remote USA, Illinois; USA - NY - New York City - BlueFlame AI / Grata; Remote USA, North Carolina
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Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Grata, and Sherpany. They all, collectively, define the future for business growth. Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box.

We’re happy to see whatever your superpower is and find the best place for it to flourish. Get started now, we look forward to meeting you. . Job Description: Datasite's Transformation Office partners across the company to improve how work gets done. Our AI Automation Engineers (aka Fo rward Deployed Engineers) embed directly with internal business teams to understand how they operate, identify opportunities for improvement, and deliver measurable business outcomes.

This is a hybrid role that combines consulting, product thinking, process redesign, AI, and software engineering . You won't receive fully defined requirements—instead, you'll work with business leaders to define problems, determine the right solution, and deliver lasting operational improvements. Sometimes the best answer is better process design. Sometimes it's AI, automation, or custom software.

Technology is a means to an end—not the objective. Think Solutions Engineer + Technical Consultant + Software Engineer — but instead of selling a solution or making recommendations, you embed with the business and build it. What This Role Is Not This is not a traditional software engineering role where requirements are handed to you. You will define problems alongside business leaders, challenge existing processes, determine the right solution, and remain accountable for measurable business outcomes.

This is a 70/30 split between hands-on engineering and business consulting. Please note: To support collaboration with our team and business partners, we are currently accepting applications only from candidates located in the CST or EST Time Zones. What You'll Do Partner directly with business teams to understand workflows, pain points, business goals, and operational challenges. Lead discovery workshops , map current-state processes, identify root causes, and recommend improvements.

Partner with functional leaders to evaluate opportunities based on business value, technicl feasibility, adoption readiness, and measurable ROI. Design, build, deploy, and support production-quality AI applications, automations, integrations, and data solutions.Determine the appropriate solution by balancing process redesign, AI, automation, integrations, and software engineering. Own engagements from discovery through implementation, adoption, measurement, and continuous improvement.

Define success metrics and measure business outcomes including productivity, quality, cycle time, cost savings, risk reduction, and adoption. Coach business partners to own and evolve solutions after delivery. Develop reusable frameworks, patterns, and best practices that accelerate future transformation initiatives. Communicate effectively with technical and non-technical stakeholders, including executive leadership.

Deliver solutions that meet Datasite's security, governance, compliance, and privacy standards. What We're Looking For 5+ years of experience building . production software, preferably using Python and modern cloud platforms. 3+ experience delivering production AI, LLM, automation, or workflow solutions Strong profeciency in consulting and discovery skills with the ability to understand business problems before proposing technical solutions.

Experience redesigning business processes to improve efficiency, quality, or scalability. Systems thinking with the ability to connect people, process, data, and technology across end-to-end workflows. Strong product judgment, including buy-versus-build and automati

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