Senior Director of AI Engineering Job at Coherent Solutions (Minneapolis)

Job Description

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.

Job Responsibility

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

Requirements

Master’s degree in Computer Science, Data Science, Statistics, Computer Engineering, or a closely related technical field
at least 10 years of experience in AI, Machine Learning, Data Science, or Advanced Analytics, including at least 5 years in a technical or executive leadership capacity
10 years of: (i) developing, training, and deploying AI and machine learning models using Python, SQL, Spark, and modern statistical and deep-learning frameworks such as Scikit-learn, TensorFlow, or PyTorch
and (ii) building predictive modeling systems for enterprise use cases, including propensity models for quality and risks
5 years of: (i) architecting and delivering end-to-end AI platforms and production workflows using Azure, AWS, Databricks, and MLOps tooling such as Spark pipelines, MLflow, and CI/CD automation
(ii) applying predictive analytics and/or advanced machine learning techniques (natural language processing and computer vision) to real-world product or enterprise applications
(iii) leading teams of Data Scientists, ML Engineers, and AI practitioners within Agile environments
and (iv) driving AI strategy and governance, including collaboration with executive stakeholders on ROI modeling, product direction, and roadmap
presenting complex AI outcomes to non-technical and C-level audiences, and implementing Responsible AI and data governance frameworks
at least 2 years of experience with GenAI/orchestration frameworks, including LangChain or LangGraph

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