Job Summary
Role Overview :
We are looking for a Forward Deployment Engineer (AI/ML/Python) to join our Customer Implementations team. You will design and build Python-based integrations, data pipelines, APIs, and AI-enabled workflows while partnering closely with customers and internal teams to ensure successful deployments. This is a highly visible, customer-facing role that combines hands-on coding, technical problem-solving, and solution delivery.
Key Responsibilities
What You'll Do
Python Development & Integrations
• Design, develop, and maintain Python-based services, APIs, and integration frameworks.
• Build scalable data ingestion, transformation, and validation pipelines.
• Develop customer-specific integrations, automations, and business workflows.
• Create reusable implementation accelerators and integration components.
AI & Intelligent Workflow Implementations
• Integrate LLM, NLP, RAG, and AI-powered capabilities into enterprise environments.
• Work alongside ML Engineers to deploy and optimize AI models in production.
• Support embedding pipelines, retrieval systems, and intelligent resolution workflows.
• Enable customers to leverage AI capabilities effectively within their existing ecosystems.
Deployment & Reliability
• Deploy and manage solutions across Azure, AWS, and GCP environments.
• Ensure reliability, scalability, observability, and performance of deployed services.
• Troubleshoot production issues, analyze logs, and perform root-cause analysis.
• Implement monitoring and operational best practices.
Customer Delivery & Solution Ownership
• Partner with Customer Success, Product, and Engineering teams to understand customer requirements.
• Translate business needs into scalable technical solutions.
• Own end-to-end implementation and deployment for strategic enterprise customers.
• Provide technical guidance, architecture recommendations, and implementation best practices.
Technical Leadership
• Participate in architecture discussions and code reviews.
• Mentor junior engineers and share implementation best practices.
• Drive technical excellence through automation, documentation, and reusable frameworks.
• Codify successful implementation patterns into tools, playbooks, and accelerators.
Skill Requirements
Required Qualifications
• 6+ years of professional software engineering experience.
• 5+ years of hands-on Python development experience.
• Experience implementing AI-powered solutions, integrations, or customer-facing technical projects.
• Strong understanding of backend systems, microservices, and distributed architectures.
• Experience building REST APIs using FastAPI, Flask, or Django.
• Hands-on experience with relational and NoSQL databases such as PostgreSQL and MongoDB.
• Experience working with cloud platforms including Azure, AWS, or GCP.
• Strong debugging, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management skills.
• Proven experience working directly with customers and managing technical implementations.
Delivery & Execution Mindset
• Ability to scope work, sequence delivery, and proactively remove blockers.
• Strong decision-making skills with the ability to balance scope, quality, and timelines.
• Willingness to contribute directly to code and technical problem-solving when needed.
• Ability to drive clarity and execution across cross-functional teams.
Other Requirements
Preferred Qualifications
• Experience with LLMs, RAG architectures, NLP, or AI-powered applications.
• Knowledge of Java and enterprise integration patterns.
• Experience with Agentic AI frameworks and intelligent workflow automation.
• Hands-on experience with Docker, Kubernetes, and containerized deployments.
• Familiarity with Kafka, RabbitMQ, or event-driven architectures.
• Experience with CI/CD pipelines and DevOps practices.
• Startup or high-growth SaaS experience.
• Open-source contributions or technical thought leadership.