AI Automation Engineer

Datasite; New York (NY); Hybrid; USD 99,000 - 173,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Paid time off

Employee benefits

Job summary

Datasite’s Transformation Office seeks an AI Automation Engineer who embeds with internal business teams to deliver measurable operational improvements. This hybrid role blends consulting, product thinking, process redesign, AI, and software engineering.

You will define problems with business leaders, determine the right solution, and own engagements from discovery to adoption while ensuring security and governance standards. Some on-site work is required in NYC/Minneapolis areas.

Qualifications

• 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 proficiency in consulting and discovery skills with ability to understand business problems before proposing technical solutions.

Responsibilities

• Partner directly with business teams to understand workflows, pain points, goals, and challenges.
• Lead discovery workshops, map current-state processes, identify root causes, and recommend improvements.
• Evaluate opportunities based on business value, technical feasibility, adoption readiness, and ROI.
• Design, build, deploy, and support production-quality AI applications, automations, integrations, and data solutions.
• 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.

Skills

Production software

Python

Cloud platforms

AI/LLM delivery

Consulting skills

Discovery facilitation

Systems thinking

Executive communication

Job description

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.

Job Description

Datasite's Transformation Office partners across the company to improve how work gets done. Our AI Automation Engineers (aka Forward 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 automation-versus-process decisions.
• Excellent communication, facilitation, and executive presentation skills.
• Demonstrated ownership, adaptability, and comfort operating in ambiguous environments.
• Experience leading organizational adoption and change management is a plus.
• Experience working in regulated or security-conscious environments is preferred.

What Success Looks Like

Successful hires build trusted relationships across the business and deliver measurable operational improvements. They are evaluated on business impact, adoption, and sustainable outcomes—not the amount of code they write.

If you're energized by solving complex business problems, working directly with stakeholders, and combining AI, software engineering, and operational excellence to create lasting impact, we'd love to meet you.

If hired in Minneapolis or NYC area, 2 days working on-site is required.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

$99,000.00 - $172,700.00

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.