Senior Manager, AI Platform Support Lead Job at Pfizer (Chennai)

Senior Lead Ai Engineer (Mlx, Agentic Ai, Gen Ai Platform Services)

Location

United States , San Francisco; New York; San Jose; Cambridge; McLean

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

Senior Manager, AI Solution Support Lead

The AI Solution Support Lead will oversee the support and operations of AI-drive...

Location

India , Chennai

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

BA/BS or MBA/MS degree with 9+ years of relevant experience in an Application Support and Operations Management
Experience in managing support and operations for applications that utilize Generative AI, Large Language Models, and AI agents
Proficiency in IT lifecycle management and experience working within a Regulatory environment
Ability to effectively navigate and accomplish tasks through both formal channels and informal networks within a large corporation
Strong skills in building effective teams, setting clear priorities, and organizing work in a structured and efficient manner
Capable of making decisions in situations of uncertainty and taking decisive actions
A mindset focused on continuous innovation and improvement
Proficient in implementing processes, using both people and technology, to achieve consistent and reliable outcomes
Strong focus on customer satisfaction and effective stakeholder management

Job Responsibility

Manage the day-to-day operations and support for AI applications
Collaborate with application development and platform teams to ensure the smooth deployment and maintenance of AI solutions
Provide assistance to end-users and work to enhance customer satisfaction
Monitor AI applications to ensure they perform optimally, are reliable, and cost-effective
Manage stakeholders to ensure AI applications meet business, compliance and IT requirements
Lead efforts in incident response and troubleshooting for any application issue
Develop and implement best practices for supporting AI applications
Oversee software and service vendors and maintain strong vendor relationships

Fulltime

Senior Lead AI Engineer (Gen AI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; New York, New York

Salary:

250800.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

Senior Manager, AI Platform Engineering

Socure is building the identity trust infrastructure for the digital economy — v...

Location

United States

Salary:

190000.00 - 210000.00 USD / Year

Socure

Expiration Date

Until further notice

Requirements

8+ years of professional software engineering experience, including time spent building or operating large-scale ML, data, or distributed systems platforms
3+ years of engineering leadership experience managing multiple teams or engineering managers
Strong technical background in ML infrastructure, data engineering, and/or cloud-native distributed systems
Demonstrated experience delivering complex, cross-functional platform initiatives
Excellent communication and stakeholder management skills, with the ability to translate between technical detail and business priorities
Experience working in fast-paced, iterative environments using modern development practices

Job Responsibility

Develop and own the roadmap for Socure’s AI/ML platform, including data and feature engineering workflows, training infrastructure, experimentation tooling, model deployment/serving, monitoring, and governance
Define architecture and standards that create clear, scalable, and secure paths for building and operating AI systems
Assess technology options and drive consolidation across the company to reduce fragmentation and improve consistency across the ML toolchain
Partner with Data Science, Engineering, Product, and Sales-Enablement teams to develop AI infrastructure that delights Customers
Lead the design and operation of the end-to-end ML lifecycle: data ingestion, feature engineering, experimentation, training, model registry, deployment, and continuous monitoring
Partner closely with Data Science to enable fast, reproducible experimentation and reduce operational friction
Ensure the platform delivers reliability, traceability, observability, and performance for both batch and real-time model workloads
Guide the team to deliver high-quality platform capabilities with predictable timelines and strong technical rigor
Remove cross-team bottlenecks, align dependencies, and ensure seamless execution across Data, Infrastructure, and Product
Establish SLAs, operational standards, and production-readiness guidelines for ML pipelines and serving systems

What we offer

Offers Equity
Offers Bonus
benefits

Fulltime

Senior Engineering Manager - AI Core Platform

We’re hiring a Senior Engineering Manager (or high-potential EM2) for the Core P...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Experience leading engineering teams, ideally across infrastructure or platform domains
Recent hands-on coding experience — you’ve shipped production code in the last couple of years
Strong technical judgment and the ability to coach senior engineers through complex architectural trade-offs
Adaptable leadership style suited to a group that will grow quickly, and change shape over time
Curiosity and enthusiasm for AI, with a desire to learn how ML systems are developed and operated in production

Job Responsibility

Lead a high-performing team building the platform and infrastructure that power Intercom’s AI capabilities
Contribute directly to production code, staying close to the work and building knowledge & context through first-hand experience
Support teams of ML Scientists and Engineers building AI powered capabilities
Plan, prioritize, and deliver high-impact roadmaps in partnership with the team’s most senior engineers, balancing delivery, quality, and innovation
Improve developer experience across the AI infrastructure stack, ensuring that systems are observable, scalable, and easy to build upon
Empower the engineers on the team to act with agency and maximize their impact
Expand your scope over time, potentially taking ownership of additional platform domains as the team and AI initiatives grow

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Pension scheme & match up to 4%
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
Cycle-to-Work Scheme
MacBooks are our standard, but we also offer Windows for certain roles when needed

Fulltime

Ai And Devops Platform Support Lead

Engineer the future of global finance. At Citi, our Tech team doesn't just suppo...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10+ years of relevant experience in a hands-on technical or support leadership role
Experience contributing to architecture discussions and ensuring solutions align with enterprise standards and long-term maintainability
Experience working with senior stakeholders or technology partners
Demonstrated experience supporting IT service improvements or platform stability initiatives
Strong communication and presentation skills, with the ability to convey technical concepts clearly
Experience supporting or contributing to technical roadmaps or operational workstreams
Experience participating in resilience-related activities such as incident simulations, disaster recovery exercises, or stability testing
Ability to collaborate with cross-functional support teams and technology groups
Strong organizational and workload-planning skills
Consistently demonstrates clear and concise written and verbal communication skills

Job Responsibility

Demonstrates a strong understanding of how application support contributes to the overall technology function and organizational objectives
Assist with vendor relationship management, including coordination with offshore managed services
Support efforts to improve service levels for end users by enhancing operational efficiencies and strengthening incident management, problem management, and knowledge-sharing practices
Partner with development teams to guide improvements in application stability and supportability
Contribute to frameworks for managing capacity, throughput, and latency
Assist in defining and implementing application onboarding guidelines and standards
Support team members by fostering a collaborative environment and encouraging skill development
Participate in cost-reduction efforts through Root Cause Analysis reviews, knowledge management, performance tuning, and user training
Participate in business review meetings to help align technology tools and strategies with business requirements
Ensure adherence to support processes and tool standards, and assist in enhancing processes to promote consistency and quality across the support program

Fulltime

Senior Lead AI Engineer (GenAI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose; McLean; New York; Cambridge

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

Performance based incentive compensation
Cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits
Healthy Body, Healthy Mind
Save Money, Make Money
Time, Family and Advice

Fulltime

Senior Lead AI Engineer (GenAI Platform Services)

At Capital One, we are creating responsible and reliable AI systems, changing ba...

Location

United States , San Jose, California; McLean, Virginia; New York, New York; Cambridge, Massachusetts

Salary:

229900.00 - 286200.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies
At least 6 years of experience programming with Python, Go, Scala, or Java

Job Responsibility

Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One
Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more
Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits

Fulltime

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Senior Manager, AI Platform Support Lead

Job Description

Job Responsibility

Requirements

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