Artificial Intelligence Technical / Solution Architect

GeorgiaTEK Systems Inc.; Brasil; Teletrabalho; BRL 250 000 - 350 000; Tempo integral

Resumo da oferta

A leading tech solutions provider in Brazil is seeking an experienced Artificial Intelligence Technical/Solution Architect. This role involves designing, implementing, and governing AI-driven solutions across various environments. The ideal candidate must have significant experience, including hands-on work with Generative AI models and a strong background in cloud-based deployments. Collaborating closely with stakeholders, this architect will also lead technical teams to develop and deliver innovative AI solutions.

Qualificações

• 10+ years of overall IT experience for Technical Architect.
• 20+ years of overall IT experience for Solution Architect.
• 5+ years of hands-on experience on Microsoft Azure.

Responsabilidades

• Design, implement, and govern AI-driven solutions across environments.
• Translate business needs into scalable AI/Cloud solutions.
• Lead technical teams in AI platform development.
• Work with Generative AI models for deployment and optimization.
• Develop and deliver technical upskilling sessions.

Conhecimentos

AI solution architecture

Cloud-based deployments

Generative AI

Large Language Models (LLMs)

Python

PySpark

Data engineering

Formação académica

BCA / MCA / BE / B.Tech

M.Tech / MS in Computer Science, AI, Data Science

Descrição da oferta de emprego

Artificial Intelligence Technical / Solution Architect

• Technical Architect: P4 / P5
• Solution Architect: P6

Experience Requirement

• Technical Architect: Minimum 10+ years of overall IT experience
• Solution Architect: Minimum 20+ years of overall IT experience
• Minimum 5+ years of hands-on experience on Microsoft Azure, with experience in technically guiding, managing, and governing teams.
• Flexibility to work in shifts as per project requirements.

Primary Responsibilities

The Artificial Intelligence Technical/Solution Architect will be responsible for designing, implementing, and governing AI-driven solutions across cloud, hybrid, and on-prem environments while collaborating closely with stakeholders and delivery teams.

Key responsibilities include:

• Engage with multiple stakeholders to understand business needs and translate them into scalable AI/Cloud solutions.
• Architect, design, and implement AI and data solutions across on-premises, cloud, and hybrid environments.
• Lead technical teams in building and deploying AI-driven platforms and solutions.
• Work hands-on with Generative AI models, including deployment, tuning, and optimization.
• Perform fine-tuning and customization of pre-trained AI models, applying best practices in AI engineering and data engineering.
• Design and implement solutions using:
• Prompt Engineering
• Vector Databases
• Work with large-scale data processing frameworks and AI pipelines.
• Develop and deliver technical upskilling sessions and workshops to customers and internal teams.
• Build AI solutions using Python and PySpark.

Primary Technical Skills

• Strong experience in AI solution architecture and cloud-based deployments
• Hands-on experience with Generative AI and Large Language Models (LLMs)
• Prompt Engineering
• Cognitive Services
• Vector Databases
• Strong programming skills in Python and PySpark
• Experience in data engineering and large-scale data processing

Secondary Skills

• Experience with MLOps and LLMOps, including:

Certifications (Must Have)

Certifications (Good to Have)

• Microsoft Certified: Azure Solutions Architect Expert (AZ-303 & AZ-304)
• Databricks Professional Certificate in Large Language Models
• Microsoft Certified: Azure Solutions Architect Expert

Soft Skills

• Strong customer relationship and stakeholder management skills
• Ability to prepare and present technical solution presentations
• Excellent verbal and written communication skills
• Positive attitude and professional demeanor
• Strong analytical and problem-solving capabilities
• Ability to manage customer discussions effectively

Educational Qualification

• Minimum: BCA / MCA / BE / B.Tech or equivalent
• Preferred: M.Tech / MS in Computer Science, AI, Data Science, or related field