AI Technical Manager

Ericsson; Gurugram District; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Ericsson seeks an AI Technical Manager to lead end-to-end AI/ML and GenAI initiatives, aligning technical delivery with business strategy. You will coordinate AI engineers, data scientists, frontend developers, and architects to produce scalable, secure solutions and compelling proposals.

You will drive estimation, budgeting, and governance, guiding model lifecycle management and responsible AI practices while collaborating with product owners and stakeholders to maximize impact.

Qualifications

• Bachelor's or 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 with proven delivery of enterprise-scale AI projects.
• Proficiency in Python (3.x), with hands-on understanding of ML/DL frameworks (PyTorch, TensorFlow, Hugging Face).
• Experience architecting 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, bridging technical and business teams.

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.

Skills

Python

ML/DL frameworks

AI/ML leadership

GenAI systems

RAG pipelines

Vector databases

MLOps

Cloud platforms

Stakeholder management

Communication

Education

Bachelor's/Master's in CS/Engineering/Data Science

Tools

Elastic

Pinecone

Milvus

LangChain

LlamaIndex

LangGraph

AutoGen

Crew.ai

Docker

Kubernetes

Azure OpenAI

AWS Bedrock

GCP Vertex AI

Job description

Job Description:

Join our Team

About this opportunity:

Join our team at Ericsson as a AI Technical Manager, a critical role that drives our end-to-end technical solutions based on customer specifications and burgeoning business needs. As part of our dynamic team, you will facilitate profitable business growth by bridging customer needs and technical opportunities into robust offerings and proposals. You will support the Consultants during the requirement analysis and high-level design phases while having the chance to assume responsibilities in Customer Support, sales, and service delivery.

What you will do:

• 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.

The skills you bring:

• 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).

Why join Ericsson?

At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.

What happens once you apply?

Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.

Primary country and city:

India (IN) || Noida