Senior Forward Deployment Engineer

About the role

You will own the design and implementation of customer-facing technical solutions that bridge AI capabilities with enterprise IT environments. This role requires you to translate ambiguous business problems into reliable, scalable integrations using Python and modern data frameworks. You will act as a technical authority during discovery, scoping, and implementation phases for strategic accounts. You will collaborate daily with sales, customer success, and product teams to ensure alignment between technical delivery and business outcomes. You will be responsible for delivering proof-of-concept, pilot, and production deployments that demonstrate clear value and accelerate adoption. You will ensure that integrations, data pipelines, and AI workflows meet enterprise standards for security, reliability, and maintainability. This position demands comfort with ambiguity and the ability to drive execution in fast-paced, multi-stakeholder environments.

Key facts

What you'll do

Design and develop Python-based services and APIs that integrate Neuron7 platforms with customer ecosystems.

Build scalable data ingestion, transformation, and validation pipelines to support AI-driven resolution workflows.

Implement customer-specific integrations, automations, and business workflows using modern Python frameworks.

Create reusable integration accelerators, templates, and components to speed up future implementation efforts.

Integrate large language models, RAG architectures, and NLP capabilities into enterprise environments securely and efficiently.

Collaborate with ML engineers to deploy, tune, and optimize AI models in production environments.

Support the design and operation of embedding pipelines, retrieval systems, and intelligent resolution workflows.

Deploy and manage solutions across Azure, AWS, and GCP while adhering to operational best practices.

Ensure reliability, scalability, observability, and performance of deployed services in customer environments.

Troubleshoot production issues, analyze logs, and perform root-cause analysis with cross-functional teams.

Implement monitoring, alerting, and diagnostic tools to maintain high service levels for customer deployments.

Partner with Customer Success and Product teams to translate business requirements into technical specifications.

Own end-to-end implementation and deployment for strategic enterprise customers across global regions.

Provide technical guidance, architecture recommendations, and implementation patterns to internal and external stakeholders.

Codify successful implementation patterns into playbooks, accelerators, and reusable tools for the broader organization.

Requirements

6+ years of professional software engineering experience with a strong track record of delivery in complex environments.

5+ years of hands-on Python development experience across diverse codebases and deployment scenarios.

Experience implementing AI-powered solutions, integrations, or customer-facing technical projects in production settings.

Strong understanding of backend systems, microservices, and distributed architectures in enterprise contexts.

Experience building REST APIs using FastAPI, Flask, or Django with a focus on scalability and maintainability.

Hands-on experience with relational and NoSQL databases such as PostgreSQL and MongoDB in production deployments.

Experience working with cloud platforms including Azure, AWS, or GCP for deploying and managing services.

Strong debugging, troubleshooting, and problem-solving skills when dealing with intricate technical issues.

Excellent communication and stakeholder management skills to interact effectively with technical and business audiences.

Proven experience working directly with customers and managing technical implementations from discovery to deployment.

Delivery & Execution Mindset

Ability to scope work, sequence delivery activities, and proactively identify and remove blockers.

Strong decision-making skills with the capacity to balance scope, quality, and timelines under pressure.

Willingness to contribute directly to code and technical problem-solving at various levels of the stack.

Ability to drive clarity and execution across cross-functional teams with diverse expertise and priorities.

Nice to have

Experience with LLMs, RAG architectures, NLP, or AI-powered applications in customer-facing scenarios.

Knowledge of Java and enterprise integration patterns commonly used in large organizations.

Experience with Agentic AI frameworks and intelligent workflow automation tools.

Hands-on experience with Docker, Kubernetes, and containerized deployment strategies.

Familiarity with Kafka, RabbitMQ, or event-driven architectures for real-time data processing.

Experience with CI/CD pipelines and DevOps practices for reliable and repeatable deployments.

Startup or high-growth SaaS experience in fast-paced, evolving product environments.

Open-source contributions or technical thought leadership that demonstrates subject matter expertise.

Practical notes

This role is based in Bengaluru and follows a hybrid work model with required in-person presence for customer deployments and collaboration sessions. Travel may be required to support customer sites as needed within defined policies. Candidates must be eligible to work in India without sponsorship for this position. The role involves deployment into production environments and requires on-call responsibilities for critical incidents during assigned shifts. New hires are expected to ramp up on internal tools, processes, and customer contexts within the first 90 days. Performance is evaluated based on successful delivery of customer outcomes, technical quality, and collaboration with cross-functional teams.