GenAI Architect/Delivery Lead - Senior Manager

PwC Acceleration Center India · Bengaluru East, Karnataka, India

On site
Full-time
$150,000 / year
Bengaluru East, Karnataka, India

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Job highlights

Lead Generative AI architecture and deployment.
Develop and fine-tune AI models.
Drive AI strategy and innovation.
Lead cross-functional teams effectively.
Ensure ethical and optimized AI solutions.

About the role

About the Role

PwC US - Acceleration Center is seeking a visionary Generative AI Architect at the Senior Manager level. In this leadership role, you will design and deploy cutting-edge Generative AI solutions, leveraging technologies like Azure OpenAI Service, GPT models, and advanced data pipelines. You will drive innovation through scalable cloud architectures, optimize AI infrastructure, and lead cross-functional teams in implementing transformative AI solutions. The ideal candidate will bring deep expertise in Generative AI technologies, data engineering, and cloud platforms like Microsoft Azure, with a strong focus on operational excellence and ethical AI practices.

Responsibilities

Architecture Design:

Design and implement scalable, secure, and high-performance architectures for Generative AI applications.
Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.

Model Development and Deployment:

Fine-tune pre-trained generative models for domain-specific use cases.
Data Collection, Sanitization and Data Preparation strategy for Model fine tuning.
Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, LanggAgentic code, Agentflow).

Innovation and Strategy:

Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.

Collaboration and Leadership:

Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
Mentor and guide team members on AI/ML best practices and architectural decisions.

Performance Optimization:

Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy.
Optimize computational costs and infrastructure utilization for large-scale deployments.

Ethical and Responsible AI:

Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks.
Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI.

Requirements:

Bachelor's or master’s degree in computer science, Data Science, or a related field.
13+ years of relevant technical/technology experience, with significant expertise in GenAI projects with production deployment experience.
Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
Strong knowledge on LLM’s foundational models (OpenAI GPT4o, O1, Claude, Gemini etc.), and open-source models like Llama 3.2, Phi etc.
Proven track record with event-driven architectures and real-time data processing systems.
Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP.
Knowledge of containerization technologies such as Kubernetes and Docker.
Comprehensive understanding of data lakes and strategies for data management.
Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel.
Proficiency in cloud computing platforms such as Azure or AWS.
Exceptional leadership, problem-solving, and analytical abilities.
Superior communication and collaboration skills, with experience managing high-performing teams.
Ability to operate effectively in a dynamic, fast-paced environment.

Nice To Have Skills:

Experience with additional technologies such as Datadog, and Splunk.
Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.

The Opportunity at PwC Acceleration Centers

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics Engineering team, you will lead transformative projects in Generative AI, driving innovation and collaboration. As a Senior Manager, you will serve as a strategic advisor, leveraging your knowledge to design and implement top-performing architectures while mentoring exceptional teams. Join us at PwC US - Acceleration Center to shape the future of AI solutions and enjoy a competitive compensation package with ample opportunities for professional growth.

Key skills/competency

Generative AI
Azure OpenAI Service
Python
Data Engineering
Cloud Architecture
LLM Frameworks
Kubernetes
Team Leadership
Problem Solving
Ethical AI

Skills & topics

Generative AI
AI Architect
Senior Manager
PwC
Azure OpenAI
Python
Data Engineering
Cloud Computing
LLM
Machine Learning

How to get hired

Tailor your resume: Highlight your 13+ years of experience, GenAI production deployment, Python, Spark, and cloud expertise for this Generative AI Architect role at PwC.
Showcase your skills: Emphasize your leadership in designing scalable AI architectures, LLM knowledge (GPT, Llama), and experience with Azure OpenAI, Kubernetes, and event-driven systems.
Prepare for technical interviews: Be ready to discuss specific GenAI projects, model fine-tuning strategies, prompt engineering, and cloud infrastructure optimization.
Demonstrate leadership: Highlight your experience mentoring teams, collaborating with stakeholders, and driving AI strategy in dynamic environments.
Understand PwC's values: Research PwC's commitment to ethical AI, data privacy, and client solutions to align your answers with their mission.

Technical preparation

Master LLM concepts: fine-tuning, prompt engineering.,Practice Python and Spark for data pipelines.,Build scalable architectures on Azure/AWS.,Familiarize with Kubernetes and Docker.

Behavioral questions

Describe leading complex AI projects.,How do you mentor junior AI engineers?,Explain managing stakeholder expectations.,How do you ensure ethical AI implementation?

Frequently asked questions

What are the primary responsibilities of a Generative AI Architect Senior Manager at PwC US Acceleration Center?: As a Generative AI Architect Senior Manager at PwC US Acceleration Center, your primary responsibilities include designing and deploying cutting-edge Generative AI solutions, leading cross-functional teams, optimizing AI infrastructure, and ensuring ethical AI practices. You'll also be involved in model development, data preparation, and defining the AI strategy roadmap.
What technical skills and experience are essential for this Generative AI Architect role at PwC?: Essential technical skills include a Bachelor's or Master's degree in a relevant field, 13+ years of technical experience with GenAI production deployment, advanced Python programming, data processing frameworks (like Apache Spark), deep knowledge of LLM foundational models (e.g., GPT-4o, Claude, Llama 3), and expertise in cloud platforms like Azure or AWS. Experience with Azure OpenAI Service, vector databases, LLM frameworks (Langchain, Llama Index), and containerization (Kubernetes, Docker) is also crucial.
How does PwC US Acceleration Center foster innovation in Generative AI?: PwC US Acceleration Center fosters innovation by encouraging its teams to stay updated with the latest advancements in Generative AI, recommending innovative applications to solve complex business problems, and defining a clear AI strategy roadmap. The environment supports exploring new technologies and implementing transformative AI solutions.
What is the role of leadership and collaboration in this Senior Manager position at PwC?: Leadership and collaboration are paramount. You will mentor and guide team members on AI/ML best practices, collaborate with cross-functional teams (data scientists, engineers, business stakeholders), and manage high-performing teams. Strong communication and collaboration skills are essential for driving projects and achieving business goals.
How does PwC address ethical and responsible AI in its Generative AI initiatives?: PwC places a strong emphasis on ethical and responsible AI. This involves ensuring compliance with ethical AI practices, data privacy regulations, and governance frameworks. Safeguards are implemented to mitigate bias, misuse, and unintended consequences of Generative AI solutions.
What kind of projects can I expect to work on as a Generative AI Architect Senior Manager at PwC?: You can expect to lead transformative projects involving the design and implementation of scalable, secure, and high-performance Generative AI applications. This includes integrating GenAI models into existing platforms, fine-tuning models for specific use cases, and developing advanced data pipelines for real-time data processing.
What are the 'nice to have' skills for the Generative AI Architect role at PwC?: Nice-to-have skills include experience with additional technologies like Datadog and Splunk, as well as possession of relevant solution architecture certificates and a commitment to continuous professional development in data engineering and Generative AI.

About the role

About the Role

Responsibilities

Architecture Design:

Design and implement scalable, secure, and high-performance architectures for Generative AI applications.
Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.

Model Development and Deployment:

Fine-tune pre-trained generative models for domain-specific use cases.
Data Collection, Sanitization and Data Preparation strategy for Model fine tuning.
Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, LanggAgentic code, Agentflow).

Innovation and Strategy:

Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation.

Collaboration and Leadership:

Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders.
Mentor and guide team members on AI/ML best practices and architectural decisions.

Performance Optimization:

Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy.
Optimize computational costs and infrastructure utilization for large-scale deployments.

Ethical and Responsible AI:

Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks.
Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI.

Requirements:

Bachelor's or master’s degree in computer science, Data Science, or a related field.
13+ years of relevant technical/technology experience, with significant expertise in GenAI projects with production deployment experience.
Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
Strong knowledge on LLM’s foundational models (OpenAI GPT4o, O1, Claude, Gemini etc.), and open-source models like Llama 3.2, Phi etc.
Proven track record with event-driven architectures and real-time data processing systems.
Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP.
Knowledge of containerization technologies such as Kubernetes and Docker.
Comprehensive understanding of data lakes and strategies for data management.
Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel.
Proficiency in cloud computing platforms such as Azure or AWS.
Exceptional leadership, problem-solving, and analytical abilities.
Superior communication and collaboration skills, with experience managing high-performing teams.
Ability to operate effectively in a dynamic, fast-paced environment.

Nice To Have Skills:

Experience with additional technologies such as Datadog, and Splunk.
Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.

The Opportunity at PwC Acceleration Centers

Key skills/competency

Generative AI
Azure OpenAI Service
Python
Data Engineering
Cloud Architecture
LLM Frameworks
Kubernetes
Team Leadership
Problem Solving
Ethical AI

How to get hired

Tailor your resume: Highlight your 13+ years of experience, GenAI production deployment, Python, Spark, and cloud expertise for this Generative AI Architect role at PwC.
Showcase your skills: Emphasize your leadership in designing scalable AI architectures, LLM knowledge (GPT, Llama), and experience with Azure OpenAI, Kubernetes, and event-driven systems.
Prepare for technical interviews: Be ready to discuss specific GenAI projects, model fine-tuning strategies, prompt engineering, and cloud infrastructure optimization.
Demonstrate leadership: Highlight your experience mentoring teams, collaborating with stakeholders, and driving AI strategy in dynamic environments.
Understand PwC's values: Research PwC's commitment to ethical AI, data privacy, and client solutions to align your answers with their mission.

Frequently asked questions

What are the primary responsibilities of a Generative AI Architect Senior Manager at PwC US Acceleration Center?

As a Generative AI Architect Senior Manager at PwC US Acceleration Center, your primary responsibilities include designing and deploying cutting-edge Generative AI solutions, leading cross-functional teams, optimizing AI infrastructure, and ensuring ethical AI practices. You'll also be involved in model development, data preparation, and defining the AI strategy roadmap.

What technical skills and experience are essential for this Generative AI Architect role at PwC?

Essential technical skills include a Bachelor's or Master's degree in a relevant field, 13+ years of technical experience with GenAI production deployment, advanced Python programming, data processing frameworks (like Apache Spark), deep knowledge of LLM foundational models (e.g., GPT-4o, Claude, Llama 3), and expertise in cloud platforms like Azure or AWS. Experience with Azure OpenAI Service, vector databases, LLM frameworks (Langchain, Llama Index), and containerization (Kubernetes, Docker) is also crucial.

How does PwC US Acceleration Center foster innovation in Generative AI?

PwC US Acceleration Center fosters innovation by encouraging its teams to stay updated with the latest advancements in Generative AI, recommending innovative applications to solve complex business problems, and defining a clear AI strategy roadmap. The environment supports exploring new technologies and implementing transformative AI solutions.

What is the role of leadership and collaboration in this Senior Manager position at PwC?

Leadership and collaboration are paramount. You will mentor and guide team members on AI/ML best practices, collaborate with cross-functional teams (data scientists, engineers, business stakeholders), and manage high-performing teams. Strong communication and collaboration skills are essential for driving projects and achieving business goals.

How does PwC address ethical and responsible AI in its Generative AI initiatives?

PwC places a strong emphasis on ethical and responsible AI. This involves ensuring compliance with ethical AI practices, data privacy regulations, and governance frameworks. Safeguards are implemented to mitigate bias, misuse, and unintended consequences of Generative AI solutions.

What kind of projects can I expect to work on as a Generative AI Architect Senior Manager at PwC?

You can expect to lead transformative projects involving the design and implementation of scalable, secure, and high-performance Generative AI applications. This includes integrating GenAI models into existing platforms, fine-tuning models for specific use cases, and developing advanced data pipelines for real-time data processing.

What are the 'nice to have' skills for the Generative AI Architect role at PwC?

Nice-to-have skills include experience with additional technologies like Datadog and Splunk, as well as possession of relevant solution architecture certificates and a commitment to continuous professional development in data engineering and Generative AI.