Engineering Manager – Forward Deployed Engineering (FDE)

Blue Machines AI

. Lead and mentor the Forward Deployed Engineering team .

Posted 10/10/2026full-timeBangalore • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading engineering teams, driving customer deployments, and designing AI-powered solutions. Proficient in system design, architecture, and debugging, with a strong focus on customer engagement and operational excellence.

Highest-signal resume keywords

Engineering ManagementSystem DesignAI-Powered WorkflowsDebugging and TroubleshootingCustomer-Facing Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringProduction Systems DesignArchitecture ReviewsWorkflow AutomationVoice AIAI AgentsLLM ApplicationsDistributed SystemsComplex Technical ProjectsDebugging Practices

Soft Skills

Excellent CommunicationMentoringTeam BuildingStakeholder ManagementCustomer Relationship Management

Tools & Technologies

CRM IntegrationsTelephony PlatformsKnowledge Retrieval SystemsEnterprise SaaS PlatformsContact Center Technologies

Industry Keywords

Engineering CultureAutomation OpportunitiesCustomer DeploymentsProduction Incident ReviewsOperational Processes

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Lead and mentor the Forward Deployed Engineering team
Establish a high-performance engineering culture
Drive execution across multiple customer deployments
Participate in hiring and team building
Work directly with enterprise customers to understand workflows and identify automation opportunities
Translate requirements into technical solutions and design AI-powered workflows
Lead customer deployments from design to production
Ensure successful adoption and measurable business outcomes
Engage with CTOs, engineering leaders, product leaders, operations teams, customer support organizations, and business stakeholders
Design and review solutions involving Voice AI, agent orchestration, workflow automation, enterprise integrations, knowledge retrieval systems, CRM integrations, telephony platforms, and customer support systems
Review production code, conduct architecture reviews, debug production incidents, build prototypes, and solve complex technical problems
Evaluate engineering tradeoffs and identify reliability and scalability risks
Balance customer commitments with engineering capacity
Prioritize across multiple deployments, identify delivery risks, manage scope and stakeholder expectations
Lead production incident reviews and improve observability, debugging practices, reliability, and operational processes
Build customer and engineering relationships, lead deployments, scale FDE processes, mentor engineers, and help define AI Employee deployment practices

Requirements

What you’ll need

8+ years of software engineering experience
2+ years of engineering management or technical leadership experience
Strong hands-on engineering background
Experience designing and operating production systems
Strong system design and architecture skills
Strong debugging and troubleshooting capability
Experience leading engineers through complex technical projects
Excellent communication skills
Experience in one or more of: AI Agents, LLM Applications, Voice AI, Conversational AI, Contact Center Technologies, Workflow Automation, Enterprise SaaS Platforms, Customer-Facing Engineering, Solutions Engineering, Distributed Systems (strongly preferred)
Capable of designing, building, debugging, and reviewing systems alongside teams
Comfortable working directly with customers and driving execution in ambiguous environments

Benefits

Comp & perks

Work at the frontier of AI and Voice AI
Solve meaningful business problems using AI Employees
Work directly with enterprise customers
Lead high-impact deployments
Influence architecture, product direction, and engineering culture
Help define the future of AI-powered work