Engineering Manager
First seen by Alion on Sep 7, 2026. MNR Solutions scores B on the Alion truth index.
Job Description :
We are looking for an experienced Engineering Manager - Data Science / AI Engineering to lead AI, Generative AI, and Agentic AI initiatives across solutioning, architecture, delivery, and team management. The ideal candidate should have a strong consulting background and the ability to translate business problems into scalable, production-ready AI solutions while managing client and stakeholder relationships.
Key Responsibilities :
- Lead end-to-end delivery of Data Science, AI, GenAI, and Agentic AI solutions from discovery and solutioning through production deployment.
- Drive solution architecture and technical design for LLM-based applications, RAG systems, AI agents, and enterprise AI solutions.
- Translate client business requirements into technical roadmaps, scalable architectures, and actionable delivery plans.
- Lead client consulting engagements, technical discussions, workshops, solution presentations, and stakeholder management.
- Provide technical leadership across AI/ML, GenAI, data science, and engineering initiatives.
- Establish and drive best practices for MLOps, LLMOps, model deployment, monitoring, scalability, and operational excellence.
- Work with cloud platforms and modern data engineering ecosystems to build production-ready AI solutions.
- Build, manage, mentor, and grow high-performing Data Science and AI Engineering teams.
- Review technical solutions, ensure engineering quality, and guide teams on architecture and implementation decisions.
- Identify opportunities for AI-led business transformation and contribute to solution proposals, estimations, and consulting engagements.
- Manage delivery priorities, risks, dependencies, and technical challenges while ensuring high-quality outcomes.
- Stay current with emerging GenAI, Agentic AI, LLM, and AI engineering technologies and evaluate their applicability to client needs.
Required Skills & Experience :
- 8 - 13 years of experience in Data Science, Analytics, AI/ML, or AI Engineering.
- Strong experience in AI, Generative AI, and Agentic AI solutioning and architecture.
- Strong hands-on understanding of LLMs, RAG, AI agents, prompt engineering, and enterprise GenAI applications.
- Experience with MLOps/LLMOps and end-to-end AI solution delivery.
- Strong understanding of cloud platforms such as AWS, Azure, or GCP.
- Strong solution architecture, technical consulting, and problem-solving skills.
- Proven experience managing and mentoring technical teams.
- Strong client-facing and stakeholder management experience.
- Consulting background with experience working on complex business and technology problems.
- Strong understanding of data science, machine learning, and modern data engineering practices.
- Excellent communication, presentation, and leadership skills.
Skills
Engineering Management, Artificial Intelligence, Machine Learning, Data Science, Agentic AI, LLM, RAG, MLOps, Generative AI, AWS