Blue Machines AI
Blue Machines AI
Blue Machines AI develops enterprise software for voice AI and conversational intelligence. Its platform helps organizations deploy AI voice agents for customer service, decision-making, and workflow automation, with applications across lending, healthcare, insurance, recruitment, mutual funds, and education technology. The company combines multilingual voice capabilities and enterprise governance with forward-deployed engineering support to help teams move solutions from prototype into production.

Senior Engineering Manager, Forward Deployed Engineering (AI)

Lead Blue Machines AI’s Forward Deployed Engineering team, designing and deploying AI Employees for enterprise customers. Stay hands-on while guiding customer implementations from initial design through production.

Tavsif

  • Lead and coach the Forward Deployed Engineering team.
  • Build a strong, high-performing engineering culture.
  • Coordinate delivery across several customer deployments.
  • Contribute to recruiting and team growth.
  • Partner with enterprise customers to understand their workflows and find opportunities for automation.
  • Turn customer needs into technical solutions and AI-powered workflows.
  • Manage deployments from solution design through production launch.
  • Support customer adoption and track measurable business results.
  • Work with CTOs, engineering and product leaders, operations teams, customer support groups, and business stakeholders.
  • Design and assess solutions using Voice AI, agent orchestration, workflow automation, enterprise and CRM integrations, knowledge retrieval, telephony, and customer support systems.
  • Review production code and architecture, investigate incidents, build prototypes, and address difficult technical problems.
  • Assess engineering tradeoffs and surface reliability and scalability risks.
  • Align customer commitments with available engineering capacity.
  • Set priorities across deployments, flag delivery risks, and manage scope and stakeholder expectations.
  • Lead production incident reviews and strengthen observability, debugging, reliability, and operational practices.
  • Build customer and engineering partnerships, lead deployments, expand FDE processes, mentor engineers, and shape AI Employee deployment practices.

Talablar

  • At least 8 years of software engineering experience.
  • At least 2 years of engineering management or technical leadership experience.
  • A strong hands-on engineering background.
  • Experience designing and running production systems.
  • Strong system design and architecture skills.
  • Strong debugging and troubleshooting skills.
  • Experience guiding engineers through complex technical projects.
  • Excellent communication skills.
  • Experience in at least one of these areas: AI agents, LLM applications, Voice AI, conversational AI, contact center technologies, workflow automation, enterprise SaaS platforms, customer-facing engineering, solutions engineering, or distributed systems; distributed systems experience is strongly preferred.
  • Ability to design, build, debug, and review systems alongside engineering teams.
  • Comfort working directly with customers and delivering in ambiguous environments.

Imtiyozlar

  • Work on cutting-edge AI and Voice AI.
  • Address meaningful business challenges with AI Employees.
  • Collaborate directly with enterprise customers.
  • Lead high-impact customer deployments.
  • Shape architecture, product direction, and engineering culture.
  • Help shape the future of AI-powered work.

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