Join our Technology & Transformation practice as a Senior Consultant specializing in API Development. This role focuses on uncovering and leveraging data's potential through strategic guidance and implementation services. We empower companies to manage diverse data sources, transforming them into actionable insights for fact-driven decision-making and gaining a competitive edge. Our practice spans business intelligence, data management, performance management, and advanced analytics, including big data, cloud, and machine learning technologies.

This position offers a unique opportunity to work directly with users, rapidly prototype innovative GenAI solutions, and transition validated concepts into secure, production-ready applications. The ideal candidate possesses a blend of GenAI engineering expertise with robust capabilities in API development, integration, automation, and end-to-end software delivery. As an accountable engineer, you'll bridge product vision and engineering execution, accelerating value delivery while ensuring scalable, supportable, and enterprise-aligned solutions.

Engage directly with users to understand workflows and identify pain points, translating needs into rapid prototypes and demonstrations to quickly validate value. Design and implement comprehensive solutions, including modern user interfaces, APIs/services, integrations, events, and automation using approved platforms. Define practical technical strategies, MVP scope, and delivery sequences, balancing speed with critical considerations like security, resilience, maintainability, and cost. Build robust system, API, and event integrations, alongside automating workflows and controls to enhance reliability and reduce manual effort. Apply secure coding practices, automated testing, code quality standards, CI/CD, and enterprise control requirements, proactively identifying risks and control gaps. Establish comprehensive logging, monitoring, runbooks, and support ownership for safe, scaled operations of deployed solutions. Prioritize reusable services and established patterns over bespoke development, contributing components and templates to engineering communities. Clearly communicate progress, options, trade-offs, dependencies, and risks to stakeholders, ensuring unblocked delivery.

Proven track record in delivering end-to-end software solutions encompassing UI, APIs/services, and system integration. Demonstrated ability in rapid prototyping with users, iterative validation, and hardening solutions for production readiness. Experience building and deploying GenAI and agentic applications, including RAG, tool-using agents, and multi-agent orchestration. Proficiency in designing evaluations, guardrails, cost controls, and human-in-the-loop checks suitable for regulated environments. Strong background in enterprise integration and automation using workflows, orchestration, scripting, and CI/CD tools. Working knowledge of secure engineering principles, automated testing, observability (logs, metrics, traces), and operational handover. Experience collaborating with product and business stakeholders to define MVP scope, priorities, and trade-offs. Adaptability to deliver effectively in ambiguous environments with evolving requirements, maintaining transparency and engineering discipline. Practical application of vector databases and GenAI or agent frameworks such as LangGraph, Semantic Kernel, or similar technologies. Expertise in REST APIs, enterprise-system integration, containerization, and Git-based CI/CD pipelines. Familiarity with modern front-end frameworks like React or Angular, or equivalent UI technologies. Hands-on development experience using Python or an equivalent backend language, with a focus on production-grade API implementation. Experience delivering within regulated or controlled environments, addressing risk, audit, security, and data-handling requirements. Proficiency in platform-based delivery utilizing shared services, APIs, integration platforms, and enterprise tooling, with sound judgment on reuse versus build decisions. Knowledge of modern UI frameworks, API design principles, event-driven architecture, integration patterns, and automation/orchestration tools. Experience with product-led, transformation-pod, or embedded engineering delivery models. Ability to create reusable accelerators such as templates, reference applications, and integration patterns, and coach other engineers. Familiarity with multi-agent orchestration, Model Context Protocol (MCP), vector databases, and LLM evaluation tooling.