Vended Application Senior Consultant II

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. 

• This job does not have supervisory duties.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.
• Strong 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.

• 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.

• 4 year Bachelors Degree (Preferred)

• 3 or more years of experience (Preferred)

• In lieu of the above education requirements, an equivalent combination of education and experience may be considered.

The Allstate Corporation is one of the largest publicly held insurance providers in the United States. Ranked No. 84 in the 2023 Fortune 500 list of the largest United States corporations by total revenue, The Allstate Corporation owns and operates 18 companies in the United States, Canada, Northern Ireland, and India. Allstate India Private Limited, also known as Allstate India, is a subsidiary of The Allstate Corporation. The India talent center was set up in 2012 and operates under the corporation's Good Hands promise. As it innovates operations and technology, Allstate India has evolved beyond its technology functions to be the critical strategic business services arm of the corporation. With offices in Bengaluru and Pune, the company offers expertise to the parent organization’s business areas including technology and innovation, accounting and imaging services, policy administration, transformation solution design and support services, transformation of property liability service design, global operations and integration, and training and transition.

Learn more about Allstate India here.