Artificial Intelligence

• Drive profitable growth through signings and revenue targets for Data, Application, and AI-driven services
• Manage margin expectations and backlog growth
• Identify, pursue, and convert high-value business development opportunities with senior stakeholders
• Scope and negotiate engagement fees while ensuring profitability and managing risk
• Build and maintain relationships with client CXOs as a trusted advisor and primary senior-executive contact
• Lead C-level client interactions, consulting initiatives, deliverables, and deal engagement outputs
• Create solutions to business problems and present content to business and IT stakeholders
• Enhance client satisfaction measured by NPS and secure new client references
• Achieve individual and team utilization/chargeability targets
• Design complex engagements and oversee delivery for high performance and customer satisfaction
• Lead and scale multi-disciplinary teams across Data, Application, and AI practice areas
• Foster talent development, continuous development, and innovation
• Shape and drive strategic initiatives using expertise in Data, Applications, and AI
• Drive external eminence and innovation and establish industry brand presence
• Develop thought leadership and intellectual capital in Advanced Analytics, Data Modernization, Governance, and AI
• Support post-deal implementation planning and execution

Consult Partner – Data, Applications & AI

• Develop user-facing interfaces in TypeScript and React, along with backend services and APIs in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
• Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
• Apply version control, code review, automated testing, CI/CD, and observability
• Deploy on GCP, Azure, or AWS and build and maintain data pipelines feeding AI systems
• Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review
• Communicate progress, trade-offs, and blockers to clients and project leads
• Support pre-sales by scoping solutions, building demos, and estimating effort
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

Senior AI and Agentic Engineer

• Validate task quality by checking instructions, source materials, reference solutions, and evaluation criteria for consistency and completeness.
• Review AI agent execution traces, tool calls, and deliverables to determine whether outcomes are justified.
• Audit grading logic to identify brittle checks, incorrect expected answers, unsupported rubric criteria, and unfair penalties for valid alternative solutions.
• Investigate discrepancies between model performance, grader results, and expected outcomes.
• Distinguish genuine model limitations from task defects, grader errors, and environment or tool failures.
• Independently assess automated QC findings rather than accepting them without verification.
• Document concise, evidence-backed findings and provide actionable, reproducible feedback.
• Flag uncertainty and verify that implemented revisions resolve previously identified issues.

Technical AI Evaluation Analyst – LATAM

• Design complex scientific workflows across computational life sciences that require multiple analytical and computational steps.
• Develop realistic scientific datasets, input files, instructions, constraints, and expected deliverables.
• Create tasks requiring AI agents to inspect data, select appropriate methods, execute analyses, and troubleshoot intermediate results.
• Implement reproducible expert solutions and objectively verifiable ground truths.
• Design robust automated or semi-automated grading criteria for scientific tasks.
• Validate scientific assumptions, calculations, code, intermediate outputs, and final results.
• Ensure task dependencies, data, and computational resources can be reliably packaged in controlled environments.
• Develop workflows using Python, command-line tools, scientific libraries, and relevant domain-specific software.
• Ensure tasks assess scientific reasoning and execution rather than memorization.
• Maintain high task quality and throughput while incorporating reviewer feedback.

Computational Biology – AI Specialist

• Diseñar, desplegar y operar soluciones de ML e IA generativa en Google Cloud Vertex AI
• Implementar motores de recomendación, búsqueda semántica y clasificación automática de contenidos
• Desarrollar pipelines de metadatos y analítica sobre el catálogo de contenidos y usuarios
• Entrenar y poner en producción modelos de aprendizaje automático y LLMs
• Implementar prácticas de MLOps: versionado, monitoreo y reentrenamiento de modelos
• Colaborar con equipos de producto y datos para priorizar casos de uso de IA
• Documentar decisiones técnicas y transferir conocimiento al equipo interno
• Monitorear y optimizar costos de cómputo e inferencia en Vertex AI

Ingeniero/a de IA – Google Cloud Vertex AI, Part-Time

• Investigate legacy applications, scripts, and manual processes to understand their purpose, dependencies, and actual behavior
• Document system behavior and maintain a knowledge base
• Decide whether capabilities should be kept, replaced, consolidated, automated, or retired
• Create and maintain a prioritized modernization roadmap aligned with business priorities and deadlines
• Coordinate initiatives from discovery through release and handover
• Collaborate across engineering, QA, Operations, business stakeholders, the managed service provider, and outside partners
• Ensure shipped work has requirements, documentation, monitoring, and an accountable owner
• Track material risks through resolution
• Convert recurring manual work into reusable AI-assisted workflows for discovery, documentation, planning, and risk tracking

Artificial Intelligence jobs in Peru

Consult Partner – Data, Applications & AI

Senior AI and Agentic Engineer

Technical AI Evaluation Analyst – LATAM

Computational Biology – AI Specialist

Ingeniero/a de IA – Google Cloud Vertex AI, Part-Time

AI Modernization Manager