Forward Deployment Engineer

About Exponentia.ai

Exponentia.ai is a fast-growing AI-first technology services company, partnering with enterprises to shape and accelerate their journey to AI maturity. With a presence across the US, UK, UAE, India, and Singapore, we bring together deep domain knowledge, cloud-scale engineering, and cutting-edge artificial intelligence to help our clients transform into agile, insight-driven organizations.

We are proud partners with global technology leaders such as Databricks, Microsoft, AWS, and Qlik, and have been consistently recognized for innovation, delivery excellence, and trusted advisories.

Awards & Recognitions:

• Innovation Partner of the Year, Databricks 2024
• Digital Impact Award, UK 2024 (TMT Sector)
• Rising Star, APJ Databricks Partner Awards 2023
• Qlik’s Most Enabled Partner, APAC

With a team of 450+ AI engineers, data scientists, and consultants, we are on a mission to redefine how work is done, by combining human intelligence with AI agents to deliver exponential outcomes.

Learn more: www.exponentia.ai

About the Role:

We are looking for an experienced Senior Forward Deployment Engineer (FDE) who thrives at the intersection of software engineering, solution architecture, AI innovation, and customer engagement. This role requires a highly technical professional capable of partnering directly with enterprise customers to architect, build, deploy, and scale mission-critical solutions in complex environments.

The ideal candidate possesses deep expertise in software engineering, cloud-native architectures, AI/ML deployments, distributed systems, and enterprise integrations. As a trusted technical advisor, you will work closely with customer stakeholders, product teams, and engineering leadership to solve high-impact business challenges and drive successful adoption of advanced technology solutions.

Key Responsibilities

Customer Solution Engineering

• Partner directly with enterprise customers to understand business objectives, operational challenges, and technical requirements.
• Lead technical discovery sessions, workshops, architecture reviews, and solution design discussions.
• Translate ambiguous business requirements into scalable, production-grade technical solutions.
• Serve as the primary technical advisor throughout the customer lifecycle.

Solution Architecture & Deployment

• Design and implement end-to-end enterprise solutions leveraging cloud-native and AI-driven technologies.
• Lead deployment of complex applications across hybrid, on-premises, and multi-cloud environments.
• Build reusable frameworks, accelerators, and deployment patterns to improve delivery efficiency.
• Drive system integration with enterprise platforms, third-party applications, and data ecosystems.

Software Engineering

• Develop high-quality, maintainable, and scalable software solutions using modern programming languages and frameworks.
• Architect and implement microservices-based applications and distributed systems.
• Optimize system performance, reliability, observability, and security.
• Establish engineering best practices including testing, code reviews, CI/CD, and infrastructure automation.

AI & Data Solutions

• Design and deploy enterprise AI solutions utilizing LLMs, RAG architectures, AI Agents, Vector Databases, and Knowledge Graphs.
• Build custom AI workflows integrating structured and unstructured enterprise data sources.
• Collaborate with Data Science and Product teams to operationalize machine learning and generative AI solutions.
• Ensure AI deployments meet enterprise-grade security, governance, and compliance requirements.

Technical Leadership

• Provide architectural guidance and mentorship to engineers and implementation teams.
• Drive technical decision-making and establish engineering standards across projects.
• Influence product roadmap through customer feedback and field insights.
• Act as an escalation point for critical technical challenges and production issues.

Skills Required

Deployment Support Engineer, Solutioning, Technical Leadership, Python, cloud, SQL, Devops, AI

Role

Required Skills & Technical Expertise

Software Engineering

• Expert-level proficiency in one or more languages: Python, Java, Go, TypeScript, C#
• Strong experience with: Object-Oriented Design, Design Patterns, Domain-Driven Design (DDD), Event-Driven Architecture, Distributed Systems

Cloud & Infrastructure

• Deep expertise in: AWS, Azure, GCP
• Strong hands-on experience with: Docker, Kubernetes, Terraform, Helm, Infrastructure as Code (IaC)

Data Engineering

• Experience working with: SQL & NoSQL Databases, Snowflake, Databricks, PostgreSQL, MongoDB, Elasticsearch, Redis
• Strong understanding of: ETL/ELT Pipelines, Data Modeling, Streaming Architectures, Data Governance

DevOps & Platform Engineering

• CI/CD implementation using: GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps
• Monitoring & Observability: Grafana, Prometheus, Datadog, ELK Stack, OpenTelemetry

Generative AI & Advanced Technologies

Mandatory Experience

• Hands-on experience delivering enterprise-grade Generative AI solutions.

• Experience with: Large Language Models (OpenAI, Claude, Gemini, Llama), Retrieval-Augmented Generation (RAG), AI Agents and Multi-Agent Systems, Vector Databases, Prompt Engineering, Semantic Search.

Preferred Frameworks

• LangChain, LangGraph, LlamaIndex, Haystack, Hugging Face, OpenAI SDK, Azure OpenAI

Enterprise Integration Experience

Strong experience integrating with enterprise platforms such as:SAP, Salesforce, ServiceNow, Workday, Microsoft Dynamics, Oracle Applications, SharePoint, Enterprise Data Warehouses

Experience with:REST APIs, GraphQL, Event Streaming, Kafka, RabbitMQ, Message-Oriented Middleware

Leadership & Customer Engagement

• Proven experience working directly with C-Level stakeholders, Product Owners, Enterprise Architects, and Business Leaders.
• Ability to influence technical and business decisions through strong communication and consultative engagement.
• Experience leading globally distributed teams.
• Strong presentation, workshop facilitation, and stakeholder management skills.
• Ability to manage multiple strategic customer engagements simultaneously.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or related discipline.
• 10+ years of software engineering, solution architecture, deployment engineering, or consulting experience.
• Experience delivering large-scale enterprise transformation programs.
• Strong track record of deploying mission-critical systems into production environments.

Preferred Certification

• AWS Solutions Architect Professional
• Microsoft Azure Solutions Architect Expert
• Google Professional Cloud Architect
• Kubernetes (CKA/CKAD)
• Databricks Certified Professional
• TOGAF Certification
• AI/ML or Generative AI Certifications

Key Competencies

• Enterprise Solution Architecture
• Customer-Facing Consulting
• Full-Stack Engineering
• Cloud-Native Development
• AI Solution Delivery
• Strategic Problem Solving
• Technical Leadership
• Stakeholder Management
• Innovation & Ownership
• Executive Communication

Why Join Exponentia.ai?

• Innovate with Purpose: Opportunity to create pioneering AI solutions in partnership with leading cloud and data platforms
• Shape the Practice: Build a marquee capability from the ground up with full ownership
• Work with the Best: Collaborate with top-tier talent and learn from industry leaders in AI
• Global Exposure: Be part of a high-growth firm operating across US, UK, UAE, India, and Singapore
• Continuous Growth: Access to certifications, tech events, and partner-led innovation labs
• Inclusive Culture: A supportive and diverse workplace that values learning, initiative, and ownership

Ready to build the future of AI with us?

• Apply now and become a part of a next-gen tech company that’s setting benchmarks in enterprise AI solutions.

Education/Qualification

Btech, BE, MCA, BCA

Job Code

10889