Gen AI Architect Senior Manager

Job Description: Generative AI Architect - Senior Manager (PwC US AC)

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:

• Bachelors or masters 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.

• Should have strong knowledge on LLMs foundational model (openai GPT4o O1 Claude Gemini etc) while need to have strong knowledge on opensource 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.