MS IT InfraCloud Senior Associate(Sr. Analyst) AI Developer operate

Industry/Sector

Specialism

Management Level

Job Description & Summary

Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives needs and feelings of others.
• Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.

Generative AI (GENAI) Developer

We are seeking a skilled Generative AI (GenAI) Developer to design develop and deploy AI-driven solutions leveraging advanced large language models (LLMs) multimodal models and machine learning frameworks. The ideal candidate has strong experience with modern AI tools prompt engineering vector databases cloud platforms and MLOps practices. This role involves collaborating with cross-functional teams to build scalable production-ready AI applications that drive business transformation.

Responsibilities:

1. AI Solution Development

• Build and deploy GenAI applications using LLMs (e.g. OpenAI Anthropic Google Gemini Llama).
• Design and optimize prompts retrieval-augmented generation (RAG) pipelines and model fine-tuning workflows.
• Develop intelligent agents chatbots summarization engines document automation tools and other AI-enhanced experiences.
• Implement multimodal solutions (text code images speech) when required.

2. Data Engineering & RAG Pipelines

• Construct end-to-end RAG architectures using vector databases (Pinecone Chroma FAISS Elasticsearch).
• Build ingestion pipelines for unstructured data (PDFs text images emails enterprise documents).
• Ensure data quality embedding strategy chunking methods and metadata design.

3. Model Integration & MLOps

• Integrate AI models into scalable backend systems via APIs and SDKs.
• Implement model evaluation monitoring and continuous improvement workflows.
• Apply secure coding responsible AI and governance standards.

4. Cloud & Deployment

• Deploy AI services on Azure AWS or GCP using managed AI offerings.
• Optimize models for cost latency and reliability.
• Build containerized applications (Docker Kubernetes) as needed.

5. Collaboration & Stakeholder Management

• Partner with product managers designers and business teams to identify AI use cases.
• Translate business requirements into technical designs and prototypes.
• Document system architecture decisions and best practices.

Other Requirements:

Technical Skills

• Strong proficiency in Python REST APIs and cloud-native development.
• Hands-on experience with LLM frameworks (LangChain LlamaIndex DSPy Rasa).
• Knowledge of transformers fine-tuning (LoRA PEFT) and vector databases.
• Experience with DevOps/MLOps tools (GitHub Actions MLflow Docker Kubernetes).
• Familiarity with front-end or full-stack development (optional but valuable).

AI & ML Expertise

• Deep understanding of NLP embeddings generative models and evaluation metrics.
• Experience with retrieval grounding hallucination mitigation and prompt optimization.
• Ability to design secure ethical and compliant AI systems.

Soft Skills

• Strong problem-solving and analytical thinking.
• Ability to explain complex AI concepts to non-technical stakeholders.
• Collaborative mindset and curiosity to explore cutting-edge AI capabilities.

Qualifications:

• Bachelors or Masters degree in Computer Science Engineering AI/ML Data Science or related field.
• Experience with enterprise AI platforms (Azure OpenAI AWS Bedrock Google Vertex AI).
• Prior exposure to environments digital transformation programs or enterprise-grade AI delivery.
• Experience with multimodal models (vision speech code generation).

Travel Requirements

Job Posting End Date