PwC

Acceleration Center - Agentic AI & DevOps Engineer - Senior Associate

Mexico · Work style not stated · Full time

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About the role

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EmployerPwC
LocationMexico
Work styleWork style not stated
Employment typeFull time
Employer posted25 Sep 2026

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
Join our Acceleration Center Mexico and help shape the future of business for our diverse client portfolio across geographies andjurisdictions.You’llwork at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration.We’llhelp you grow your skills so you can go further. With hands-on learning,cutting-edgetoolsand an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.
As an Acceleration Center - Agentic AI Engineer - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informeddecision-makingand driving business growth. Within our Internal Firm Services practice, you will leverage Artificial Intelligence to solve business problems through Agentic Systems, RAG, LLMs, while ensuring solution scalability and correct implementation.
As a Senior Associate, you will focus on building meaningful client connections and learning how to manage and inspire others. You will navigate increasingly complex situations,growingyour personalbrandand deepening your technical skills. You are expected toanticipatethe needs of your teams and clients, delivering quality work while embracing increased ambiguity. This role requires you to respond effectively to diverse perspectives, use a broad range of tools and methodologies to generatenew ideas, and uphold professional and technical standards.
In this role at PwC Acceleration Center Mexico,you'll ship a system. This seat owns the model layer end-to-end: prompt and skill design, evals, safety, and the MLOps that keeps it cheap, fast, traced, and reproducible in production.
Responsibilities

Show full description

- Designingand deploy LLM-powered automations at scale — agents, skills, pipelines — from prototype through production

-Buildingeval frameworks: offline benchmarks, adversarial red-teaming, regression suites, and production feedback loops that catch drift before users do

-Owningobservability end-to-end: distributed traces, latency histograms, cost attribution, token throughput, error budgets, and dashboards that surface signal over noise

-Defininge and enforce SLOs for model-backed services; own the alerting stack and incident response playbooks

-Debugingproduction failures across the full stack — from Kubernetes pod restarts to model hallucinations to prompt injection — and write postmortems thatactually preventrecurrence

-Operatinge AI-natively: use Claude Code, Codex, GitHub Copilot, Cursor, and similar tools as daily infrastructure, not novelty — and hold the output to the same standard as hand-written code

-InstrumentingandmonitoringLLM behavior in production: token usage, response quality, failure modes, latency SLAs Architect CI/CD for model and prompt changes: versioning, automated eval gates, rollback strategies

What You Must Have
- At least aBachelor'sdegree
- At least 2 years of experience
- Oral and written proficiency in English required
What Sets You Apart
-Core engineering:Python fluency,FastAPI, async patterns,Pydantic, Typescript, SQL/Redis for state and caching, K8s + Azure DevOps CI/CD

- ML/LLM Depth:strong fundamentals (transformers, finetuning, RAG, agent frameworks);hands-on with Claude/OpenAI SDKs/Langchain/Langgraph/Langfuse; building evaluations: prompt tests, LLM-as-a-judge pipelines, human feedback integration.

-MLOps/SRE:shipped LLM-backed automations to productions with real SLAs and real users, reproducible experiments (tracked, versioned, auditable),SLO definition, error tracking, alerting design,monitoringpipelines for model degradation, promptdriftand cost anomalies.

-AI Native Fluency: daily user of AIcoding assistants (Claude Code, Codex, Copilot, Cursor),understandinsmodel limitations, failure modes and when to distrust output, can write prompts and agent instructions with rigor,has opinions on eval design, context management and tool-use patterns.

Travel Requirements

Up to 20%

Job Posting End Date

October 27, 2026

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