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Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Director - Applied AI Engineering

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Senior leader role to lead Applied AI Engineering within Consumer & Community Banking based in Hyderabad. The role balances hands-on AI engineering with managing multiple teams to architect, design, and deploy scalable solutions focused on LLMs, NLU/NLP, voice technologies, and cloud infrastructure. Responsibilities include building robust data pipelines, model monitoring, infrastructure automation (Terraform), stakeholder collaboration, and driving adoption of emerging AI technologies. The position also involves talent development, budgeting, resource allocation, and aligning AI initiatives with organizational objectives.

Compensation
Not specified

Currency: Not specified

City
Hyderabad
Country
India

Full Job Description

Location: Hyderabad, Telangana, India

If you are a visionary leader with deep technical expertise in AI engineering, LLMs, NLU/NLP, voice, and cloud technologies, and a passion for building world-class teams, we invite you to apply for this exciting opportunity.

 

As the Executive Director – Applied AI Engineering within Consumer & Community Banking, you will spearhead our advanced AI initiatives in Hyderabad, India. You will balance your time between hands-on AI engineering and leadership, managing multiple teams to deliver cutting-edge solutions. Your role involves architecting, designing, and implementing scalable AI solutions, with a focus on Large Language Models, Natural Language Understanding, and voice technologies. You will lead the development and deployment of AI models, ensuring robust data pipelines and model monitoring. Applying cloud engineering best practices, including infrastructure design and automation with Terraform, will be key. You will collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions. Staying current with emerging AI technologies, you will promote adoption and innovation. You will lead, mentor, and manage AI engineering teams, fostering a culture of innovation and technical excellence. Setting strategic direction, defining goals, and ensuring successful delivery of AI projects across business units will be crucial. Additionally, you will partner with senior executives to align AI initiatives with organizational objectives, overseeing resource allocation, budgeting, and performance management.

Job responsibilities:

  • Architect, design, and implement scalable AI solutions, with a focus on Large Language Models (LLMs), Natural Language Understanding (NLU), Natural Language Processing (NLP), and voice technologies.
  • Lead the development and deployment of AI models and systems, ensuring robust data pipelines and model monitoring.
  • Apply cloud engineering best practices, including infrastructure design and automation using Terraform.
  • Collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions.
  • Stay current with emerging AI, LLM, and voice technologies, driving adoption and innovation.
  • Lead, mentor, and manage multiple AI engineering teams, fostering a culture of innovation and technical excellence.
  • Set strategic direction, define goals, and ensure successful delivery of AI projects across business units.
  • Develop talent, build team capabilities, and drive continuous improvement.
  • Partner with senior executives to align AI initiatives with organizational objectives.
  • Oversee resource allocation, budgeting, and performance management for all teams under your purview.

 

Required qualifications, capabilities and skills:

  • Advanced degree (Master’s or PhD) in Computer Science, AI, or related field.
  • 12+ years of experience in AI engineering, with at least 5 years in a senior leadership role.
  • Proven track record of delivering large-scale AI solutions, including LLM, NLU/NLP, and voice technologies, in a complex, multi-team environment.
  • Strong expertise in cloud platforms, infrastructure automation (Terraform), and AI/ML frameworks.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience working in global organizations and managing cross-functional teams

     

Short Description: If you are a visionary leader with deep technical expertise in AI engineering, we invite you to apply for this excit

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Director - Applied AI Engineering

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Hyderabad

Country: India

Senior leader role to lead Applied AI Engineering within Consumer & Community Banking based in Hyderabad. The role balances hands-on AI engineering with managing multiple teams to architect, design, and deploy scalable solutions focused on LLMs, NLU/NLP, voice technologies, and cloud infrastructure. Responsibilities include building robust data pipelines, model monitoring, infrastructure automation (Terraform), stakeholder collaboration, and driving adoption of emerging AI technologies. The position also involves talent development, budgeting, resource allocation, and aligning AI initiatives with organizational objectives.

Full Job Description

Location: Hyderabad, Telangana, India

If you are a visionary leader with deep technical expertise in AI engineering, LLMs, NLU/NLP, voice, and cloud technologies, and a passion for building world-class teams, we invite you to apply for this exciting opportunity.

 

As the Executive Director – Applied AI Engineering within Consumer & Community Banking, you will spearhead our advanced AI initiatives in Hyderabad, India. You will balance your time between hands-on AI engineering and leadership, managing multiple teams to deliver cutting-edge solutions. Your role involves architecting, designing, and implementing scalable AI solutions, with a focus on Large Language Models, Natural Language Understanding, and voice technologies. You will lead the development and deployment of AI models, ensuring robust data pipelines and model monitoring. Applying cloud engineering best practices, including infrastructure design and automation with Terraform, will be key. You will collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions. Staying current with emerging AI technologies, you will promote adoption and innovation. You will lead, mentor, and manage AI engineering teams, fostering a culture of innovation and technical excellence. Setting strategic direction, defining goals, and ensuring successful delivery of AI projects across business units will be crucial. Additionally, you will partner with senior executives to align AI initiatives with organizational objectives, overseeing resource allocation, budgeting, and performance management.

Job responsibilities:

  • Architect, design, and implement scalable AI solutions, with a focus on Large Language Models (LLMs), Natural Language Understanding (NLU), Natural Language Processing (NLP), and voice technologies.
  • Lead the development and deployment of AI models and systems, ensuring robust data pipelines and model monitoring.
  • Apply cloud engineering best practices, including infrastructure design and automation using Terraform.
  • Collaborate with product, business, and technology stakeholders to translate requirements into actionable AI solutions.
  • Stay current with emerging AI, LLM, and voice technologies, driving adoption and innovation.
  • Lead, mentor, and manage multiple AI engineering teams, fostering a culture of innovation and technical excellence.
  • Set strategic direction, define goals, and ensure successful delivery of AI projects across business units.
  • Develop talent, build team capabilities, and drive continuous improvement.
  • Partner with senior executives to align AI initiatives with organizational objectives.
  • Oversee resource allocation, budgeting, and performance management for all teams under your purview.

 

Required qualifications, capabilities and skills:

  • Advanced degree (Master’s or PhD) in Computer Science, AI, or related field.
  • 12+ years of experience in AI engineering, with at least 5 years in a senior leadership role.
  • Proven track record of delivering large-scale AI solutions, including LLM, NLU/NLP, and voice technologies, in a complex, multi-team environment.
  • Strong expertise in cloud platforms, infrastructure automation (Terraform), and AI/ML frameworks.
  • Excellent leadership, communication, and stakeholder management skills.
  • Experience working in global organizations and managing cross-functional teams

     

Short Description: If you are a visionary leader with deep technical expertise in AI engineering, we invite you to apply for this excit