AI Cloud Solution Architect Job in Tata @ Tata Communications

Job Description

Responsibilities: 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. Work with Cross Functional teams like Delivery , Implementation, Operations for solution handover. 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. Qualifications: Bachelors or masters 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.,

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Rs 0 - 50K PM Rs 50K - 1 LPA Rs 1.0 - 1.5 LPA Rs 1.5 - 2.0 LPA Rs 2.0 - 2.5 LPA Rs 2.5 - 3.0 LPA Rs 3.0 - 3.5 LPA Rs 3.5 - 4.0 LPA Rs 4.0 - 4.5 LPA Rs 4.5 - 5.0 LPA Rs 5 - 6 LPA Rs 6 - 7 LPA Rs 7 - 8 LPA Rs 8 - 9 LPA Rs 9 - 10 LPA Rs 10 - 12 LPA Rs 12 - 14 LPA Rs 14 - 16 LPA Rs 16 - 18 LPA Rs 18 - 20 LPA Rs 20 - 22 LPA Rs 22 - 24 LPA Rs 24 - 26 LPA Rs 26 - 28 LPA Rs 28 - 30 LPA Rs 30 - 32 LPA Rs 32 - 34 LPA Rs 34 - 36 LPA Rs 36 - 38 LPA Rs 38 - 40 LPA Rs 40 - 42 LPA Rs 42 - 44 LPA Rs 44 - 46 LPA Rs 46 - 48 LPA Rs 48 - 50 LPA Rs 50 - 75 LPA Rs 75 Lakh - 1C PA Rs 1 Crore+ PA

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Keyskills:   data analytics AWS Azure APIs cloud computing technical writing pipeline management