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- Client Engagement:
- Engage with potential clients to understand their business objectives, challenges, and technical requirements.
- Conduct discovery sessions and workshops to gather client requirements and align solutions with their strategic goals.
- Solution Design:
- Collaborate with sales teams to develop customized AI cloud solutions that address client needs and differentiate our offerings in the marketplace.
- Architect end-to-end solutions leveraging AI algorithms, cloud platforms, data analytics, and other relevant technologies.
- Proposal Development:
- Lead the development of technical proposals, presentations, and demonstrations that showcase the value proposition of our AI cloud solutions.
- Work closely with sales teams to create compelling proposals, including solution diagrams, architecture diagrams, and pricing models.
- Technical Expertise:
- Serve as a subject matter expert on AI and cloud technologies, including AI/ML algorithms, cloud platforms (e.g., AWS, Azure, Google Cloud), and related services.
- Stay informed about industry trends, emerging technologies, and competitive landscape to provide strategic insights and recommendations.
- Client Presentations and Workshops:
- Deliver engaging and persuasive presentations, workshops, and product demonstrations to clients, highlighting the technical features and benefits of our AI cloud solutions.
- Effectively communicate complex technical concepts in a clear and concise manner to both technical and non-technical audiences.
- Bachelor's or master's degree in computer science, Engineering, or related field.
- Proven experience in a presales or solution architect role, with a focus on AI solution development along with building and implementing APIs.
- Strong understanding of AI frameworks, machine learning algorithms, data analytics, methodologies, along with hands-on experience in cloud computing.
- Excellent communication, presentation, and interpersonal skills, with the ability to build rapport with clients and internal stakeholders.
- Demonstrated ability to translate client requirements into technical solutions and articulate value propositions effectively.
- Experience with proposal development, technical writing, and creating compelling sales collateral.
- Familiarity with sales processes, CRM systems, and pipeline management tools.
- Relevant certifications in AI, cloud computing, or related fields (e.g., AWS Certified Solutions Architect, Azure AI Engineer) are a plus.
Ai Cloud Solution Architect - Mumbai Metropolitan Region - Tata Communications

3 weeks ago

Description
Job Title:
AI Cloud Solution Architect
Summary:
Develop customized AI cloud solutions to address client needs and differentiate our offerings in the marketplace. Collaborate with sales teams to design end-to-end solutions leveraging AI algorithms, cloud platforms, data analytics, and other relevant technologies.
Responsibilities:
Qualifications:
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