Senior Consultant | API Developer

GenAI Engineering | Agentic Solutions | End-to-End Delivery

Apply on below link - 117039 Job ID

https://southasiacareers.deloitte.com/job-invite/117039/

Role overview

The Forward Deployed Engineer works close to business users, product teams and delivery squads as the accountable engineer for rapid prototyping and end-to-end solution delivery. The role converts real user needs into secure, production-viable software across user interfaces, APIs, integrations and automation. It bridges product intent and engineering execution, accelerating time-to-value while ensuring solutions are scalable, supportable and aligned with enterprise standards.

Key responsibilities

• User-adjacent discovery and rapid prototyping: Work directly with users to understand workflows and pain points; translate needs into prototypes, demonstrations and thin-slice implementations that validate value quickly.
• End-to-end solution engineering: Design and implement complete solutions spanning modern user interfaces, APIs/services, integrations, events and automation using approved platforms and patterns.
• Solution shaping and technical options: Define pragmatic technical approaches, MVP scope and delivery sequencing; balance speed with security, resilience, maintainability and cost.
• Integration and automation enablement: Build system, API and event integrations; automate workflows, controls and reporting to remove manual steps and improve reliability.
• Engineering quality and controls: Apply secure coding, automated testing, code quality, CI/CD and enterprise control requirements; identify risks and control gaps early.
• Production readiness and handover: Establish logging, monitoring, runbooks, support ownership and non-functional readiness so solutions can operate safely at scale.
• Reuse and platform alignment: Prefer reusable services and established patterns over bespoke builds; contribute components, templates and reference implementations to engineering communities.
• Stakeholder and dependency management: Communicate progress, options, trade-offs, dependencies and risks clearly; keep decisions unblocked and delivery moving.

Required experience

• Proven delivery of end-to-end software solutions covering UI, APIs/services and upstream/downstream system integration.
• Rapid prototyping with users, iterative validation and subsequent hardening toward production readiness.
• Build and deploy GenAI and agentic applications: RAG, tool-using agents, multi-agent orchestration and workflow automation.
• Design evaluation, guardrails, cost controls and human-in-the-loop checks suited to regulated environments.
• Enterprise integration and automation using workflows, orchestration, scripting and CI/CD automation.
• Working knowledge of secure engineering, automated testing, observability including logs, metrics and traces, and operational handover.
• Experience partnering with product and business stakeholders to shape MVP scope, priorities and trade-offs.
• Ability to deliver in ambiguous environments with shifting requirements while maintaining transparency and engineering discipline.

Indicative technical experience

• Practical use of vector databases and GenAI or agent frameworks such as LangGraph, Semantic Kernel or equivalent. The specific technology stack is not intended to be restrictive.
• REST APIs, enterprise-system integration, containerisation and Git-based CI/CD delivery.
• Experience with modern front-end frameworks such as React or Angular, or equivalent UI technologies.
• Hands-on development using Python or an equivalent backend language, with production-grade API implementation.

Preferred experience

• Delivery within regulated or controlled environments, including risk, audit, security and data-handling requirements.
• Platform-based delivery using shared services, APIs, integration platforms and enterprise tooling, with sound reuse-versus-build judgment.
• Modern UI frameworks, API design, event-driven architecture, integration patterns and automation/orchestration tooling.
• Product-led, transformation-pod or embedded engineering delivery models.
• Creation of reusable accelerators such as templates, reference applications and integration patterns, plus coaching of other engineers.
• Experience with multi-agent orchestration, Model Context Protocol (MCP), vector databases and LLM evaluation tooling.

Experience 5+ years of experience

Education - BE / B.Tech in Computer Science, Engineering, or a related discipline.