Enterprise AI Solutions Architect and Lead Engineer

Forward Deployed Engineer

Project Role : Forward Deployed Engineer
Project Role Description : Organize the deployment of AI workflows and architectures across diverse AI and technology platforms. Facilitate solution design across enterprise technology stack to integrate into the ecosystem of AI models and multi provider platforms.
Must have skills : Generative AI, Python (Programming Language)
Good to have skills : AI Agents & Workflow Integration
Minimum 7.5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary :
As a Forward Deployed Lead Engineer, you will lead the architecture, design, and delivery of enterprise-scale AI solutions. You will provide technical leadership across initiatives involving LLMs, Agentic AI, RAG, workflow orchestration, and enterprise integrations while driving solutioning, innovation, and scalable solution delivery across complex business environments.

Roles & Responsibilities
Lead architecture and implementation of enterprise AI solutions.
Analyze complex business challenges and define scalable AI solution architectures.
Lead solutioning workshops and architecture discussions with business and technical stakeholders.
Define scalable architectures for AI agents, RAG systems, and intelligent workflow orchestration.
Drive technical decisions related to model selection, prompt engineering, evaluation frameworks, governance, and responsible AI.
Design enterprise integration patterns across business applications and cloud platforms.
Drive technical problem-solving across multiple teams and programs.
Collaborate with stakeholders, architects, and engineering teams to deliver business outcomes.
Mentor engineers, conduct design reviews, and establish engineering best practices.
Drive innovation and adoption of AI technologies across multiple programs and teams.

Professional & Technical Skills
Must Have Skills Strong expertise in Python and enterprise application development.
Experience designing and delivering AI-powered solutions leveraging LLMs.
Deep understanding of Agentic AI, workflow orchestration, and enterprise automation.
Strong experience with RAG architectures, vector databases, embeddings, and semantic search.
Experience with prompt engineering, model evaluation, and AI governance.
Strong solution architecture and system design skills.
Strong problem-solving, solutioning, and consulting capabilities.
Ability to engage with business stakeholders and translate requirements into scalable technical solutions.
Strong communication, stakeholder management, and technical leadership skills.

Preferred Skills
Experience with Google Cloud Platform (GCP).
Experience with Gemini, Vertex AI, Agent Builder, Vertex AI Search, or similar cloud AI services.
Experience with frameworks such as LangChain, LangGraph, LlamaIndex, CrewAI, ADK, or equivalent.
Experience with open-source models and enterprise AI platforms.
Experience designing cloud-native and scalable enterprise architectures.

Additional Information
The candidate should have a minimum of 7.5 years of overall professional experience.
Experience leading the design and delivery of enterprise AI, automation, or data-driven solutions is preferred.
Experience driving architecture decisions, mentoring teams, and delivering large-scale enterprise solutions is highly desirable.
A 15 years full-time education is required.