3 Days Left: AI Solution Architect
6 days ago
Role: Senior AI Solution Architect
Total Experience: 14 to 20 Years
Notice Period: Immediate to 30 days maximum
Location: Hyderabad
Job Description
We are seeking a highly skilled and experienced AI Solution Architect with expertise in Machine Learning (ML), Natural Language Processing (NLP), Generative AI (GenAI), and Deep Learning (DL). The ideal candidate will play a pivotal role in managing the AI practice resources within our IT service company. This position involves client-facing responsibilities, excellent communication skills, and a strong focus on business development through crafting and presenting new proposals for prospective clients.
Key Responsibilities:
1. Technical Leadership:
o Provide strategic leadership in the design and implementation of AI solutions, with a focus on ML, NLP, GenAI, and DL technologies.
o Stay abreast of industry trends, emerging technologies, and best practices to ensure the AI practice remains at the forefront of innovation.
2. Resource Management:
o Effectively manage and mentor a team of AI professionals, ensuring optimal utilization of resources and fostering a collaborative and innovative work environment.
o Oversee the development and execution of projects, ensuring they meet high- quality standards and are delivered on time and within budget.
3. Client-Facing Role:
o Act as the primary point of contact for clients, understanding their business needs, and translating requirements into effective AI solutions.
o Collaborate with clients to identify opportunities for AI integration, providing expert guidance and building strong, long-term relationships.
4. Business Development:
o Lead the creation of proposals for new clients, working closely with the sales and business development teams to understand client requirements and tailor solutions.
o Participate in pre-sales activities, including client presentations, workshops, and demonstrations to showcase the capabilities of our AI solutions.
5. Innovation and Research:
o Drive innovation within the AI practice by researching and experimenting with new technologies, methodologies, and tools.
o Contribute to the development of intellectual property, thought leadership, and whitepapers.
Preferred Skills:
Familiarity with cloud platforms and AI services (e.g., AWS, Azure, Google Cloud). Experience with deploying AI models into production environments.
Knowledge of industry-specific regulations and compliance standards related to AI.
Telecom domain knowledge is good to have.
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