Senior AI Consultant

NirYu; Estado de México; Híbrido; MXN 400,000 - 600,000; Jornada completa

Descripción de la vacante

A technology consulting firm in Mexico is seeking an AI Engagement Lead to lead client interactions and oversee AI/ML project delivery. The role requires expertise in developing AI solutions, mentoring engineers, and translating business needs into technical actions. The ideal candidate will possess strong programming skills in Python and familiarity with modern AI tools, coupled with excellent communication abilities. This position offers opportunities to shape innovative AI projects and work with a global team.

Formación

• Experience in building and deploying AI/ML solutions in production.
• Strong programming skills in Python and familiarity with LLM frameworks.
• Ability to present technical concepts to diverse audiences.

Responsabilidades

• Lead AI discovery sessions and technical assessments.
• Develop functional prototypes and proof-of-concepts using modern AI tools.
• Coordinate with global engineering teams for successful project delivery.

Conocimientos

AI/ML solution development

Prototyping with AI tools

Python programming

Communication skills

Technical specifications translation

Adaptability in fast-paced environments

Herramientas

Claude Code

Cursor

Gemini

LangChain

LlamaIndex

Descripción del empleo

Responsibilities

• Client Engagement (60-70%)
  • Lead AI discovery sessions and technical assessments with client stakeholders
  • Develop functional prototypes and proof-of-concepts using modern AI tools and frameworks
  • Create detailed technical specifications for implementation by engineering teams
  • Provide technical leadership and guidance across multiple concurrent client engagements
• Internal Product Development (20-25%)
  • Provide technical direction for ADAPT, our LLM-powered delivery platform
  • Evaluate and integrate emerging AI tools and frameworks into delivery methodologies
  • Mentor AI engineers and establish technical best practices
  • Contribute to the development of our AI Innovation Accelerator framework
• Thought Leadership & Business Development (10-20%)
  • Author long-form technical content including white papers, case studies, and blog posts
  • Facilitate and lead CTO roundtables and executive AI strategy discussions
  • Support sales and marketing initiatives by providing technical expertise during prospect meetings
  • Develop and deliver presentations at industry conferences and webinars
  • Create compelling demonstrations and narratives that showcase Jeavio's AI capabilities
  • Contribute to proposal development and RFP responses for strategic opportunities
• Team Collaboration
  • Coordinate with India-based engineering teams to ensure successful project delivery
  • Provide technical guidance and architectural direction across time zones
  • Support knowledge transfer and capability building across the organization

Requirements

Technical Requirements

• Demonstrated experience building and deploying AI/ML solutions in production environments
• Proficiency in rapid prototyping using modern AI development tools (Claude Code, Cursor, Gemini, etc.)
• Strong programming skills in Python and familiarity with LLM frameworks (LangChain, LlamaIndex, etc.)
• Experience with vector databases, RAG implementations, and prompt engineering
• Understanding of AI/ML fundamentals and ability to select appropriate approaches for business problems

Professional Skills

• Excellent communication skills with ability to present technical concepts to diverse audiences
• Experience translating business requirements into technical specifications
• Comfort working in ambiguous, fast-paced environments
• Flexibility to accommodate occasional meetings outside standard hours for global team coordination

Preferred Qualifications

• Previous experience in technology consulting, professional services, or sales engineering
• Domain expertise in healthcare, financial services, or enterprise software
• Track record of successful AI project delivery from conception to production
• Experience managing or mentoring distributed technical teams
• Published work, contributions to open source projects, or thought leadership in AI/ML