Senior Forward Deployed Engineer (AI/ML), AI Studio
On-siteHyderabad, Telangana, India
Job Summary
Lead discovery by clarifying business workflows, user needs, and value hypotheses to shape actionable AI use cases. Translate complex problems into executable solution designs, delivery plans, and technical workstreams. Build, prototype, and review critical production components including AI-enabled applications, RAG systems, and intelligent automation. Define and maintain integrated architectures across applications, data pipelines, models, and enterprise integrations. Orchestrate delivery across full-stack engineering, data science, and compliance roles while establishing integrated testing and governance frameworks. Coordinate production readiness through CI/CD, staged releases, monitoring, and SLOs to support early stabilization and transition to operating owners. Communicate evidence, risks, and trade-offs clearly to stakeholders and convert delivery lessons into reusable standards and playbooks.
Required Qualifications
- Bachelor's/Master's degree with 8 - 13 years of experience in Computer Science, IT or related field
- Demonstrated end-to-end technical ownership of at least one production AI, ML, software, data or automation solution that delivered a measurable enterprise outcome
- Strong hands-on proficiency in Python and SQL
- Proven ability to turn complex business problems into coherent technical designs, executable delivery plans, acceptance criteria and production-readiness evidence while coordinating multidisciplinary teams
- Advanced capability in at least one role-defining pillar—Applied AI/ML, GenAI/RAG/agents, full-stack and integration engineering, or AI platform/MLOps
- Excellent critical thinking and ability to create clarity, structure and forward momentum in ambiguous situations
- Strong technical leadership through influence, credibility, constructive challenge and hands-on problem solving
- Clear communication of evidence, uncertainty, risks, trade-offs, limitations and delivery status to diverse audiences
- Sound judgment, ownership and resilience when balancing value, speed, quality, security, compliance, cost, maintainability and supportability across global teams
Desired Qualifications
- Advanced RAG, knowledge and agent systems: Hybrid or graph retrieval, knowledge graphs, source verification, MCP-style integration, durable or multi-agent workflows, policy enforcement and adversarial testing
- Cloud, data and AI platforms: AWS, Bedrock or SageMaker, Databricks, Spark, Kubernetes, serverless or event-driven systems, infrastructure as code, MLflow, Airflow, Kubeflow, observability and FinOps
- Full-stack, workflow and automation breadth: JavaScript or TypeScript, modern web applications, API gateways, distributed workflows, process automation, document or vision capabilities and human-AI review experiences
- Regulated delivery and capability building: Life sciences, biotechnology, pharmaceutical, healthcare, GxP or validated-system experience
- Reusable frameworks, accelerators, standards, platform capabilities and mentoring
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