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PwC
H1B vizos rėmėjasKonsultavimasRinkodaraTeisė
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AI Engineer Senior Associate - PwC Hyderabad Onsite

Build governed Generative AI and Agentic AI solutions for PwC’s regulatory compliance services in Hyderabad. Develop production systems, automation, and MLOps capabilities for global client engagements.

INIndijaDarbas vietojeVisas etatasVyresnysis specialistasPrivaloma Kalba: anglųDirbtinio intelekto inžinieriusMašininio mokymosi inžinierius
DockerKubernetesPython

Aprašymas

  • Create Generative AI solutions with large language models, Retrieval-Augmented Generation, semantic search, knowledge graphs, and enterprise knowledge integration
  • Build Agentic AI capabilities spanning autonomous workflows, multi-agent orchestration, agent frameworks, tool integrations, guardrails, and human oversight
  • Define practices for prompt engineering, management, evaluation, version control, reuse, and lifecycle governance
  • Apply responsible AI and governance methods covering risk assessment, explainability, transparency, validation, monitoring, and regulatory readiness
  • Advance DevOps and MLOps through CI/CD, infrastructure as code, automated testing, deployment automation, monitoring, alerting, and release controls
  • Examine client regulatory and compliance processes to uncover opportunities for AI-enabled improvement
  • Develop AI applications for risk monitoring, regulatory reporting, and compliance assessment
  • Convert business needs into technical specifications for automation and model-driven tools
  • Verify data sources and output logic used in compliance-oriented decisions
  • Use AI expertise, data analysis, and digital tools to improve operational efficiency
  • Work with client teams to evaluate control weaknesses, workflow constraints, and evolving compliance requirements
  • Assess technical deliverables for regulatory exposure, governance quality, and alignment with firm standards
  • Contribute to discussions on designing effective AI-human collaboration in managed services
  • Record solution assumptions, constraints, limitations, and implementation factors
  • Coach junior colleagues in AI principles, analytical approaches, and compliance use cases

Reikalavimai

  • Bachelor’s degree required
  • Five to eight years of professional experience
  • Professional proficiency in spoken and written English
  • B.E. or B.Tech preferred
  • Advanced practical Python experience, including asyncio or anyio, type hints, and Pydantic v2
  • Experience developing FastAPI services with versioned API contracts
  • Hands-on experience creating LLM applications with Pydantic AI or comparable frameworks
  • Experience producing typed, schema-validated outputs and recovering from malformed model responses with retries, repair, and fallback strategies
  • Experience using OCR solutions such as Tesseract and PaddleOCR
  • Experience with PDF libraries including PyMuPDF and pypdf
  • Experience creating ground-truth datasets, field-level scoring, baseline comparisons, and CI regression gates for LLM evaluation
  • Prompt engineering, version management, and tuning focused on accuracy, token spend, and latency
  • Understanding of LLM security, including prompt-injection defenses and safe processing of untrusted inputs
  • Demonstrated experience delivering Generative AI systems into production
  • Experience with Docker and Kubernetes, including Helm and GitOps
  • Experience implementing CI/CD pipelines with GitHub Actions
  • Experience connecting enterprise workflow platforms such as Appian, or equivalent downstream systems with strict API contracts
  • Ability to demonstrate AI fluency and effective AI-human collaboration in client delivery
  • Strong analytical judgment for complex regulatory risk situations
  • Proficiency in analyzing and interpreting data
  • Ability to work through ambiguity while coordinating multiple client workstreams
  • Active listening and empathy
  • High technical diligence in compliance and governance work

Privalumai

  • Practical opportunities to deepen your skills through hands-on work
  • Access to modern, advanced technology tools
  • An inclusive workplace culture
  • Mentoring and continued technical development
  • Collaboration with global teams across Advisory, Assurance, Tax, and Business Services

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