AI Technical Manager
Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Artificial Intelligence · Data Engineering
In short
Ericsson is seeking an AI Technical Manager in Noida to lead end-to-end AI/ML and GenAI projects, ensuring alignment with business strategy. This role involves managing cross-functional teams, translating business problems into AI solutions, overseeing model deployment, and defining technical standards for MLOps.
Responsibilities
- Lead end-to-end delivery of AI/ML and GenAI projects & ensuring alignment with business strategy and technical excellence.
- Manage cross-functional teams including AI engineers, data scientists, Python/Frontend developers, and solution architects.
- Translate complex business problems into scalable AI solutions and actionable roadmaps.
- Drive project estimation, resource planning, and cost modeling for AI initiatives; manage budgets and track ROI of AI programs.
- Oversee development and deployment of ML/GenAI models, APIs, and agentic systems ensuring reliability, compliance, and security.
- Define technical standards, reusable frameworks, and best practices for model lifecycle management (MLOps).
- Evaluate and select suitable LLMs, vector databases, and orchestration frameworks based on cost, scalability, and business impact.
- Collaborate with product owners, architects, and business stakeholders to prioritize and deliver high-value AI initiatives.
- Drive technical evaluations and integration of LLMs, vector databases, orchestration tools, and emerging GenAI frameworks.
- Mentor and guide team members on AI/ML concepts, design patterns, and responsible AI practices.
- Ensure timely delivery, risk management, and continuous improvement through agile project execution.
Requirements
- Bachelor’s/Master’s degree in Computer Science, Engineering, Data Science, or related field.
- 10+ years of software development experience with at least 4+ years in AI/ML or GenAI solution delivery.
- Strong technical leadership and people management skills with proven delivery of enterprise-scale AI projects.
- Proficiency in Python (3.x), and hands-on understanding of ML/DL frameworks (PyTorch, TensorFlow, Hugging Face).
- Experience in architecting or managing GenAI systems using RAG pipelines, embeddings, and vector databases (Elastic, Pinecone, Milvus).
- Working knowledge of GenAI frameworks such as LangChain, LlamaIndex, LangGraph, AutoGen, and Crew.ai.
- Familiarity with MLOps pipelines (CI/CD for ML, monitoring, retraining, drift detection) and container orchestration (Docker/Kubernetes).
- Exposure to cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex AI) and modern data architectures.
- Deep understanding of Responsible AI, governance, and compliance requirements in enterprise environments.
- Excellent communication and stakeholder management skills, with ability to bridge technical and business teams.
- Prior exposure to Telecom, BFSI, or large enterprise AI adoption programs.
- Certifications in AI/ML, Cloud (Azure/AWS), or Project Management (PMP, Agile).
Benefits
- Outstanding opportunity to use your skills and imagination to push the boundaries of what's possible.
- Build solutions never seen before to some of the world's toughest problems.
- Be challenged, but not alone; join a team of diverse innovators.
- Drive innovation and craft what comes next.
- Encouraging a diverse and inclusive organization is core to our values.
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