AI Architect

Techwave

Hyderabad

Hybrid

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

Techwave is seeking an experienced AI Architect to design and implement scalable AI solutions, lead technical teams, and accelerate PoC projects to production. You will work with clients to deliver architecture designs, proofs of concept, hands-on implementation, and measurable value realization.

The role requires hands-on coding, strong cloud experience (Azure AI stack, AWS, GCP), and a passion for staying ahead of AI trends while mentoring peers and driving best practices across geographies.

Qualifications

  • Hands-on architecting, coding, prototyping and testing AI solutions.
  • Experience taking PoC to production and accelerating customer opportunities.
  • Provide customers with architecture designs, proofs of concept, hands-on implementation, and value realization.
  • Lead project teams and establish best practices to be adopted in projects.
  • Provide perspective to stakeholders to improve adoption through technical insights.
  • Curiosity for emerging AI trends and becoming go-to person.
  • Develop versatile AI models adaptable to multiple use cases.

Responsibilities

  • Be hands-on in architecting, coding, prototyping, and testing AI solutions.
  • Accelerate PoC opportunities to production.
  • Provide customers with architecture designs, proofs of concept, hands-on implementation, and value realization.
  • Lead and guide project teams, establishing best practices.
  • Provide perspectives to stakeholders to increase adoption through insights.
  • Stay up-to-date with emerging AI trends.
  • Develop versatile AI models for multiple use cases.

Skills

Azure AI
Python
Django
SQL
Vector DBs
AI libraries
AIOps
Code reviews
Security
Performance
Scalability
Documentation
Industry trends
Troubleshooting
Architecture design
Thought leadership
Stakeholder mgmt
Mentoring
Collaboration

Tools

Azure AI stack
AWS
GCP

Job description

Experience:

12- 20 Years of over all experience with designing and implementing scalable AI solutions.

Responsibilities:
  • Be hands-on in architecting, coding, prototyping, and testing solutions, and willingness and the ability to roll-up the sleeve to get things over the line.
  • Accelerate new customer opportunities and projects from Proof of Concept (PoC) to Production.
  • Provide customers with expertise and through architecture designs, proof of concepts, hands-on implementation, and value-realization.
  • Lead and provide guidance to project teams including handholding, establishing best practices to be adopted in projects.
  • Provide perspective to key stakeholders to increase adoption through technical thought leadership, insights & feedback on a regular basis.
  • Curiosity to be up to date with the emerging trends in the AI space and emerge as a go-to-person.
  • Develop versatile AI models that can be adapted for multiple use cases.
Technical Skills:
  • Demonstrated expertise in Azure AI stack.
  • Proficiency in Python, Django, SQL, Vector Databases, Python AI libraries and AIOps.
  • Ensure the scalability, performance, and security of solutions.
  • Conduct code reviews and ensure adherence to best practices and coding standards.
  • Stay updated with the latest industry trends and technologies.
  • Troubleshoot and resolve technical issues as they arise.
  • Document technical designs and processes.
Preferred Qualifications:
  • Experience with AI frameworks.
  • Experience with other cloud platforms (e.g., AWS, GCP) is a plus.
Soft Skills:
  • Ability to collaborate effectively internal and external stake holders in tight deadlines across different geographies, with a smile.
  • Self-motivated, and enjoy working in a collaborative environment and appreciate the ambiguity of complex software systems.
  • Flair for innovation is a strong pre-requisite.
  • Strong storytelling, presentation, and stakeholder management skills.
  • Ability to balance strategic vision with hands-on technical execution.
  • Excellent networking and collaboration abilities, with the confidence to engage clients/partners/regions.
  • Ability to influence and persuade, build consensus, drive and energise team
  • Innate wiliness to coach/mentor team members.
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