Services - AI and Generative AI Lead

Responsibilities

• Lead technical discovery workshops to identify high-value AI/ML/GenAI use cases, success metrics, and solution constraints.
• Develop and provide input into AI/ML/GenAI proof of concept applications to support specific customer requirements or to provide generic frameworks and delivery accelerators.
• Translate business requirements into target architectures, technical designs, delivery plans, and implementation backlogs.
• Serve as the primary technical lead, managing design decisions, risks, dependencies, and stakeholder communication.

• Design and implement enterprise GenAI patterns such as RAG, summarization, extraction, classification, assistants/copilots, and (where appropriate) tool/function calling.
• Define retrieval strategies (chunking, metadata, embeddings, relevance tuning) and grounding approaches to improve response quality.
• Establish evaluation and testing practices for GenAI (quality, groundedness, safety, regression testing for prompts and retrieval).

• Lead ML solution development across the lifecycle: data understanding, feature engineering, training/validation, deployment, and monitoring.
• Select and implement appropriate algorithms for supervised/unsupervised learning; define performance metrics and acceptance criteria.
• Support model governance processes (model documentation, approvals, lineage, reproducibility, and change control).

• Partner with data and application teams to design secure data pipelines and integrations (batch/streaming/APIs) across enterprise systems.
• Ensure data access patterns meet privacy, residency, and compliance requirements; define data quality checks and controls.
• Guide implementation using Oracle data services and standard engineering patterns (APIs, microservices, event‑driven designs).

• Establish CI/CD and automation for AI/ML/GenAI components including versioning, testing, and environment promotion.
• Implement monitoring and observability for reliability and quality: latency, throughput, drift, accuracy, cost/token usage, and safety signals.
• Create operational documentation and runbooks; support go‑live readiness and post‑production stabilization.

• Apply secure‑by‑design practices: least‑privilege IAM, encryption, secrets management, auditing/logging, and network segmentation.
• Implement responsible AI controls such as guardrails, output filtering, human‑in‑the‑loop workflows (when required), and documentation.
• Ensure alignment to customer and Oracle policies for data handling, third‑party dependencies, and compliance.

• Provide hands‑on technical guidance through code reviews, design reviews, troubleshooting, and mentoring.
• Contribute reusable assets (reference architectures, accelerators, templates) to improve delivery velocity and quality.
• Support estimation and planning; contribute technical input to proposals/contracts and customer presentations/briefings as needed.
• Lead small delivery teams, coordinate work, and ensure high implementation quality.
• Mentor team members.
• Upskill and inform the wider consulting community on AI/ML/GenAI developments in Oracle technology stacks.
• Understand competitive landscape and communicate opportunities to up‑sell based on product expertise.

• Liaise with the Oracle ecosystem (Account Teams, Sales Consulting, Product teams, communities, cross‑LOB teams).

  Relevant degree or at least 6 years of industry experience in a similar role, 6‑10 years in software engineering, data/AI engineering, ML engineering, or solution architecture roles, including technical leadership of enterprise projects.

• Proven delivery experience across GenAI and ML solutions (at least one implemented beyond POC/pilot preferred).
• Delivery: architecture documentation, mentoring, stakeholder management.
• Delivery:
  Demonstrated proficiency in a broad range of delivery processes and methodologies, including Agile (e.g., Scrum, Kanban, SAFe), iterative/incremental delivery, and traditional Waterfall/V‑Model approaches.
• Experienced across the full delivery lifecycle…