Director of AI Engineering

Coherent Solutions•Minneapolis, MN

9d•Remote

About The Position

Coherent Solutions, Incorporated, seeks a Senior Director of AI Engineering in Minneapolis, Minnesota (telecommuting from anywhere in the US allowed) to be responsible for defining and executing the company’s global AI and Generative AI strategy. The role integrates deep technical expertise in AI/ML with business acumen to design, deliver, and commercialize enterprise-grade AI solutions across industries. The incumbent will lead a distributed global team of AI Engineers and Data Scientists in the U.S., Eastern Europe, and Mexico to drive innovation, client success, and measurable business impact. Technologies Python SQL Apache Spark Databricks Scikit-learn TensorFlow PyTorch Azure AWS MLflow CI/CD Spark pipelines NLP Computer Vision LangChain LangGraph

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a related field
10+ years of experience in AI, Machine Learning, Data Science, or Advanced Analytics
5+ years of experience in technical or executive leadership roles
Strong experience developing, training, and deploying AI/ML models using Python, SQL, and modern ML frameworks
Proven experience building enterprise-grade predictive models (e.g., risk, quality, propensity models)
Deep understanding of statistical modeling and advanced analytics
Experience designing and delivering end-to-end AI platforms and production workflows
Hands-on experience with cloud platforms (Azure, AWS, Databricks)
Strong experience with MLOps practices (MLflow, CI/CD, pipelines)
Experience applying NLP and/or Computer Vision in real-world solutions
2+ years of experience with Generative AI and orchestration frameworks (LangChain, LangGraph)
Experience leading teams of Data Scientists, ML Engineers, and AI practitioners
Strong experience in AI strategy, governance, and roadmap development
Ability to collaborate with executive stakeholders and drive ROI-focused initiatives
Experience presenting complex AI solutions to non-technical and C-level audiences
Experience implementing Responsible AI and data governance frameworks

Responsibilities

Develop and execute comprehensive go-to-market and engineering strategies for AI, ML, and Generative AI offerings, aligned with corporate objectives set by the CTO.
Design and oversee scalable AI architectures and MLOps frameworks using Azure ML, AWS Bedrock/SageMaker, Databricks, MLFlow, LangChain/LangGraph.
Lead the development, validation, and deployment of machine learning and statistical models for prediction, personalization, optimization, and risk detection.
Apply statistical and causal inference methods - regression, Bayesian inference, and uplift modeling - to measure model performance and business ROI.
Direct the creation and maintenance of experimentation and analytics platforms supporting continuous testing, ML lifecycle automation, and reproducibility at enterprise scale.
Oversee development of AI accelerators and reusable components in areas such as NLP, Generative AI, Computer Vision, and Agentic AI.
Oversee management of data engineering and analytics infrastructure, ensuring data reliability, lineage, and compliance across distributed data pipelines using Python, SQL, and Spark.
Lead implementation of Responsible AI frameworks, including bias detection, model explainability, and compliance with ethical and regulatory standards (GDPR, SEC/FINRA).
Partner with Sales, Marketing, and Delivery teams to define AI-driven value propositions and support client acquisition through technical pre-sales engagement and executive presentations.
Serve as senior technical advisor to client executives, shaping multi-year AI roadmaps and quantifying business impact.
Offer strategic vision and leadership to our global team of AI Engineers, Data Scientists, and Product Managers, establishing performance goals and delivery KPIs.
Collaborate with the CTO to set AI innovation and research agenda; evaluate emerging technologies such as LLMs, multi-modal AI, and Agentic AI platforms for commercial adoption.
Develop and enforce engineering best practices and quality standards for all AI/ML solution deployments.
Author white papers, case studies, present at conferences, and participate at expert panels and roundtables to establish the company’s position as an AI thought leader.
Maintain strategic partnerships with technology vendors and academic institutions to advance the AI solutions portfolio.
Report progress on AI initiatives, including financial and technical KPIs, directly to the CTO and executive leadership team.
Ensure adherence to Agile, Scrum, and SAFe frameworks for timely project execution.
Maintain continuous professional awareness of new technologies, security standards, and market trends relevant to AI engineering.

Benefits

Technical and non-technical training for professional and personal growth;
Internal conferences and meetups to learn from industry experts;
Support and mentorship from an experienced employee to help you professional grow and development;
Internal startup incubator;
Health insurance;
English courses;
Sports activities to promote a healthy lifestyle;
Flexible work options, including remote and hybrid opportunities;
Referral program for bringing in new talent;
Work anniversary program and additional vacation days.