Senior AI Engineer

PwC

. Design and implement Generative AI solutions using large language models, Retrieval-Augmented Generation, semantic search, knowledge graphs, and enterprise knowledge integration .

Posted 10/30/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing Generative AI solutions, including large language models and AI governance practices. Proficient in Python, DevOps, and MLOps methodologies, with a strong focus on compliance and regulatory frameworks.

Highest-signal resume keywords

Generative AI Solutions DesignPython Programming (Asyncio/Anyio, Pydantic v2)DevOps and MLOps Practices (CI/CD, Infrastructure as Code)AI Governance and ComplianceFastAPI Development

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Hard Skills

Generative AILarge Language ModelsPrompt EngineeringPythonFastAPIDockerKubernetesCI/CDOCRData Analysis

Soft Skills

Analytical ThinkingCommunicationMentoringProblem-SolvingCollaboration

Tools & Technologies

Pydantic AIGitHub ActionsAppianPDF ToolingMulti-Agent Orchestration

Industry Keywords

AI GovernanceRegulatory ComplianceRisk AssessmentKnowledge GraphsSemantic Search

Tech Stack

Tools & technologies

DockerKubernetesPython

About the role

Key responsibilities & impact

Design and implement Generative AI solutions using large language models, Retrieval-Augmented Generation, semantic search, knowledge graphs, and enterprise knowledge integration
Implement Agentic AI solutions, including autonomous workflows, multi-agent orchestration, agentic frameworks, tool integration, guardrails, and human-in-the-loop controls
Establish prompt engineering, management, evaluation, versioning, reuse, and lifecycle practices
Implement responsible AI and AI governance practices, including risk assessments, explainability, transparency, validation, monitoring, and regulatory readiness
Drive DevOps and MLOps practices, including CI/CD, infrastructure as code, automated testing, deployment automation, monitoring, alerting, and release governance
Analyze client regulatory and compliance workflows to identify AI-enabled improvement opportunities
Develop AI solutions supporting risk monitoring, regulatory reporting, and compliance reviews
Translate business needs into technical requirements for automation and model-based tools
Validate data sources and output logic for compliance-focused decision making
Collaborate with client teams to assess control gaps, workflow bottlenecks, and emerging compliance needs
Review technical deliverables for regulatory risk, governance, and firm-standard alignment
Support AI-human collaboration use cases in managed services environments
Document solution assumptions, limitations, and implementation considerations
Mentor junior team members on AI concepts, analytical methods, and compliance applications

Requirements

What you’ll need

At least a Bachelor's degree
At least 5 - 8 years of experience
Oral and written proficiency in English required
Degree Preferred: B.E/B.Tech
Strong hands-on Python experience, including async (asyncio/anyio), type hints, and Pydantic v2
Experience building FastAPI services with versioned API contracts
Hands-on experience building LLM applications with Pydantic AI or similar frameworks
Experience with typed, schema validated outputs and handling malformed model responses through retries, repair, and fallbacks
Experience extracting data from PDFs, scans, images, and Word files using OCR and PDF tooling
Experience building LLM evaluation datasets, field-level scoring, baseline comparisons, and CI regression gates
Experience designing, versioning, and tuning prompts
Experience mitigating prompt injection and handling untrusted input safely
Track record of shipping GenAI systems to production
Experience with Docker and Kubernetes (Helm, GitOps)
Experience with CI/CD using GitHub Actions
Experience integrating enterprise workflow platforms such as Appian or other downstream systems with strict API contracts
Ability to apply analytical thinking to complex regulatory risk scenarios
Ability to interpret data analysis for actionable recommendations
Ability to navigate ambiguity while managing multiple client workstreams
Ability to uphold compliance and governance through technical diligence

Benefits

Comp & perks

Hands-on learning
Cutting-edge tools
Inclusive culture