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)

Experience
- 3 or more years of experience (Preferred)

Supervisory Responsibilities
- This job does not have supervisory duties.

Education Experience (in lieu)
- In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

Primary Skills
- Defect Resolution
- ERP Applications
- Functional Designs
- Integration Testing
- Issue Management

Shift Time

Shift B (India)

Recruiter Info

Yateesh B G

📌 Vended Application Senior Consultant II (Bengaluru)
🏢 Allstate India Private
📍 Bengaluru