Artificial Intelligence Engineer Job Description

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Because artificial intelligence (AI) engineers can help a range of businesses drive innovation and business growth, you’ll need an excellent job description to recruit the best people. Remember that job seekers typically view many job posts at the same time, so this is your chance to stand out. Keep your AI engineer job description brief, but include enough details to paint a full picture of the role and the work environment.

Include a summary of your company’s vision and culture, and touch on the impact the AI engineer will have on business success. Wherever possible, use conversational language and bulleted lists.

Sample artificial intelligence engineer job description

[Company X] is at the forefront of digital reinvention, helping clients reimagine how they serve their connected customers and operate enterprises. We’re looking for an experienced artificial intelligence engineer to join the revolution, using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help us improve various business outcomes and drive innovation. The engineer will join a multidisciplinary team helping to shape our AI strategy and showcasing the potential for AI through early-stage solutions. This is an excellent opportunity to take advantage of emerging trends and technologies and make a real-world difference.

Objectives of this role

Manage and direct processes and R&D (research and development) to meet the needs of our AI strategy
Understand company and client challenges and how integrating AI capabilities can help lead to solutions
Lead cross-functional teams in identifying and prioritizing key areas of a partner’s business where AI solutions can drive significant business benefit
Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Responsibilities

Advise C-suite executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team and executive leadership
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
Manage a team in conducting assessments of the AI and automation market and competitor landscape
Serve as liaison between stakeholders and project teams, delivering feedback and enabling team members to make necessary changes in product performance or presentation

Required skills and qualifications

Two or more years of experience in applying AI to practical and comprehensive technology solutions
Experience with ML, deep learning, TensorFlow, Python, NLP
Experience in program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations

Preferred skills and qualifications

Bachelor’s or master's degree in computer science or related field
Experience with innovation accelerators
Experience with cloud environments