Build production-ready generative and agentic AI solutions that improve customer experiences
Responsibilities
Build and evaluate generative AI solutions, including retrieval-augmented generation, conversational assistants and colleague drafting tools
Design agentic workflows that plan, use approved tools and complete multi-step tasks with appropriate permissions and human oversight
Engineer prompts, system instructions and retrieval pipelines to improve grounding and response quality
Create evaluation harnesses and golden datasets covering groundedness, accuracy, task completion, latency and cost
Select and tune models for different use cases, balancing quality, cost, latency and data-residency requirements
Requirements
A tertiary qualification in data science, statistics, computer science, engineering or another quantitative discipline, or equivalent demonstrated experience
Lead Support Engineer / Support Manager – AI Platform
Responsibilities
Build and lead the Hyderabad AXIOM support team, act as the final technical escalation point in India, and partner with Engineering, Product and our Forward Deployed Engineers.
Hire, onboard, manage and train a team of four engineers, and run the shift and on-call rotation.
Own Severity 1 and 2 incidents end to end, including customer communication and root cause summaries.
Lead security-related incidents with the security team.
Set up runbooks, the knowledge base, support tooling and lab environments, and report support KPIs.
Build and operate the foundation that enables internal teams to deliver and operate GenAI applications, agents, RAG systems, and related AI workloads reliably, safely, and cost-effectively.
Compensation
Annual salary paid in 12 installments (monthly)
Responsibilities
Architect and build AI platform capabilities for applications, agents, RAG systems and related AI workloads
Architect and build infrastructure that is easy to maintain, update and improve
Architect and build infrastructure with appropriate reliability and recovery capabilities for internal AI platform services
Work together with our Security Engineers to provision secure and governed AI platform infrastructure
Build and maintain deployment automation to ensure fast delivery of AI platform services to our developers
Requirements
Bachelor’s degree and above in a technology related field
Nice to have: other cloud service providers (GCP, Azure)
Nice to have: Kubernetes (CKA, CKAD, CKS)
Nice to have: AWS AI services (Bedrock, Bedrock Knowledge Bases, Bedrock AgentCore, Bedrock Prompt Management)
Arquitecto de Soluciones GenAI que apoya el diseño, implementación y documentación de arquitecturas basadas en Inteligencia Artificial Generativa dentro del ecosistema de datos y aplicaciones del banco.
Responsibilities
Diseñar y documentar arquitecturas de soluciones GenAI
Implementar y documentar arquitecturas basadas en IA generativa
Integrar modelos de lenguaje y servicios de IA con la infraestructura tecnológica
Construir pruebas de concepto
Promover el cumplimiento de lineamientos de seguridad, gobierno y escalabilidad
Embed directly with product development teams to understand real business problems and work out the right way to solve them with AI, building and shipping production AI applications.
Responsibilities
Embed directly with product teams to understand their business flows and work out where AI genuinely helps
Lead technical discovery to separate bottlenecks from symptoms
Help teams design and build AI-first applications on top of existing services
Gather and document requirements for new services
Build and operate data pipelines, model training and serving, and MLOps tooling
Lead the design and governance of large‑scale data architecture to enable AI and analytics across the enterprise.
Compensation
The anticipated base salary range for this position in the United States is $160,000 - $260,000. Actual starting compensation will be determined based on a variety of factors, including a candidate's experience, skills, qualifications, and the scope and responsibilities of the role. In addition to base salary, eligible employees may participate in incentive compensation programs, such as annual bonuses or commissions, and receive a comprehensive benefits package.
Responsibilities
Define large‑scale data architecture decisions for batch/streaming platforms, warehouses, and lakehouses
Architect observability, alerting, and incident‑response frameworks for data pipelines
Partner across teams to define standards for data quality, lineage, access control, cataloging, and governance
Design data modeling standards across OLAP, OLTP, streaming, and AI/feature‑store use cases
Define patterns for embedding AI and agent‑supported workflows across the data engineering lifecycle
Design, code, test, debug, document and maintain the services that make up the AI platform and agent runtime, taking systems from design review through production operation and long-term support.
Responsibilities
Design, code, test, debug, document and maintain the services that make up the AI platform and agent runtime
Design the public surface of the platform - APIs, SDKs, client libraries, schemas and versioning strategy
Build the Capability Gateway using MCP servers and tool interfaces
Build and operate the agent harness and runtime
Establish engineering standards, methods and tooling (coding standards, CI/CD, infrastructure as code)
Design, build, and ship production‑grade AI applications using Claude and other LLMs, manage AI asset platform, and govern AI skills and plug‑ins within a regulated enterprise.
Compensation
The expected salary range for this position is $ 135,000 to $160,000 and will be impacted by factors such as the successful candidate’s skills, experience and working location, as well as the specific position’s business line, scope and level.
Responsibilities
Build reusable skills and package them as plug‑ins
Configure and tune foundational models
Build retrieval‑augmented generation, embeddings, and multi‑step workflows
Take prototypes and productionize them
Own and govern the skill and plug‑in marketplace
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Nice to have: Agent development and orchestration (LangGraph, CrewAI, Claude Agent SDK)
Product EngineerNewClera-AI · Berlin, Germany
AI Platform EngineerPayPay Card · Japan
ARCHITECTURE EXPERT I - SOLUTIONS ARCHITECTURE - AI TRANSFORMATION & ENGINEERING COLOMBIABBVA · Bogotá, Colombia
Principal Data EngineerApplied Systems, Inc.
Principal AI/ML EngineerUnitedHealth Group