Job Summary The Engineer is a highly experienced individual contributor responsible for delivering scalable, secure, and high-performance application and AI-enabled solutions. This role combines deep technical expertise with strategic thinking to translate complex business challenges into robust engineering solutions, including GenAI-powered and agentic workflows.

As an IC, you will drive technical excellence, influence engineering standards, and lead the design of intelligent systems while collaborating cross-functionally with product, architecture, and platform teams. You will also play a key role in advancing the organization s adoption of Generative & Agentic AI through governance, reusable patterns, and enterprise-grade integrations.

Key Responsibilities

Engineering

- Design, develop, and deliver complex, scalable application solutions with a focus on performance, security, and maintainability.
- Own end-to-end solution architecture for large features or systems, including microservices, APIs, and event-driven workflows.
- Lead the design and implementation of reusable components, frameworks, and engineering patterns.
- Ensure high code quality through rigorous testing strategies, code reviews, and adherence to best practices.
- Define and document architecture decisions, technical designs, and system dependencies.
- Design and implement secure AI solutions using Azure security best practices.
- Secure Azure OpenAI, AI Foundry, AI Search, and AI workloads through identity, access control, and network security.
- Define and enforce Responsible AI, security, privacy, and governance standards across AI applications.
- Ensure data protection, auditability, compliance, and regulatory adherence for AI-enabled solutions.
- Implement AI guardrails, content filtering, model monitoring, and risk controls for GenAI applications.
- Conduct security reviews, threat modelling,



and vulnerability assessments for AI services and integrations.
- Collaborate with Security Operations, Risk, Compliance, and Governance teams to ensure enterprise-wide AI security standards.
- Monitor and respond to security risks associated with LLMs, AI agents, APIs, and enterprise integrations.
- Establish secure patterns for RAG, vector databases, embeddings, and enterprise knowledge access. Advanced Development & Delivery

- Independently deliver complex workstreams and mission-critical features with minimal oversight.
- Provide accurate estimations, identify risks, and proactively manage trade-offs and dependencies.
- Lead root cause analysis and resolution of complex production issues and system defects.
- Drive CI/CD, observability, and reliability improvements across systems. GenAI & Agentic Systems

- Architect and implement AI-assisted and agentic workflows that decompose complex tasks into orchestrated steps.
- Design and build advanced AI agents capable of reasoning, decision-making, and tool usage.

- Define when to apply human-in-the-loop vs autonomous agentic patterns.
- Lead the integration of LLMs with enterprise systems, APIs, and knowledge bases.
- Establish robust grounding strategies (RAG, embeddings, vector stores) to improve accuracy and reduce hallucinations.

- Continuously evaluate and improve model and agent performance using feedback loops and telemetry. Governance & Standards

- Define and enforce engineering and AI governance frameworks, including ethical AI practices and compliance standards.




- Establish best practices for prompt engineering, agent design, and reusable AI components.

- Ensure data quality, security, and auditability across AI and application systems.
- Contribute to enterprise-wide standards for GenAI adoption and responsible AI usage.

Collaboration

- Collaborate closely with product, architecture, and business stakeholders to align technical solutions with business goals.
- Influence technical roadmaps and contribute to long-term platform and capability strategy.

- Support change management and production deployments across environments. Essential Skills & Experience

- 5+ years of experience in software engineering, with strong expertise in Python and React.js .
- 5+ years of experience designing and building RESTful APIs, microservices, and distributed systems .

- Proven experience in Generative AI , including LLM orchestration, LangChain (or similar frameworks), and prompt engineering.
- Solid understanding of system design, scalability, and performance optimization .

- Experience designing event-driven and asynchronous systems .
- Hands-on experience integrating AI systems with enterprise platforms and APIs.

Desirable Skills

- Experience with Java / Spring Boot .
- Strong experience with cloud platforms (AWS, Azure, or GCP) .
- Knowledge of vector databases, RAG architectures, and embedding pipelines .

- Familiarity with ethical AI, governance frameworks, and regulatory compliance .
- Experience with DevOps practices, CI/CD pipelines, and infrastructure as code .

Education

- 4 year Bachelors Degree (Preferred)

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change.

Applicants are advised to confirm the latest information directly on the company website before applying.

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