Client Solutions Partner

Role :

Client Solutions Partner (AI Solutioning for Telecom Industry)

Experience Level : 8 to 12 years

Location :

Mumbai / Bangalore (hybrid)

Job Summary :

We are seeking a dynamic and strategic Client Solution Partner with expertise in Telecom and AI / Generative AI (GenAI) solutions. In this role, you will serve as a trusted advisor to telecom clients, helping them navigate the transformative potential of AI and GenAI technologies to solve complex challenges and drive business innovation. You will work closely with cross-functional teams to design, sell, and implement tailored AI-driven solutions that optimize telecom operations, enhance customer experiences, and unlock new growth opportunities.

Roles and Responsibilities :

Client Relationship & Engagement : Cultivate and manage strong, long-term relationships with key decision-makers in telecom organizations. Act as the primary point of contact for all AI and GenAI-related initiatives, ensuring the delivery of high-value solutions.

Solution Design & Strategy : Collaborate with clients to understand their business challenges and telecom needs, and design AI / GenAI-driven solutions that address these pain points. Provide strategic guidance on how emerging technologies can transform their operations and customer offerings.

Sales & Business Development : Identify new business opportunities and upsell AI and GenAI solutions within existing client accounts. Lead consultative sales engagements, guiding clients through the AI journey—from initial discovery to solution design and deployment.

End-to-End Project Leadership : Oversee the full lifecycle of AI / GenAI solutions, from pre-sales through to post-sales support. Work with internal teams to ensure the successful implementation of solutions that align with client objectives and exceed expectations.

AI & GenAI Expertise : Stay on the cutting edge of AI, machine learning, and generative AI trends. Bring deep knowledge of how these technologies can be applied in the telecom industry, from predictive maintenance and network optimization to customer personalization and automation.

Cross-Functional Collaboration : Work closely with sales, engineering, product, and support teams to tailor AI / GenAI solutions that meet client needs. Ensure clear communication and alignment between teams throughout the solution lifecycle.

Client Advocacy & Support : Advocate for client needs within the organization, ensuring their feedback and concerns are addressed. Provide clients with ongoing education and support to help them maximize the value of AI solutions.

Performance Monitoring & ROI : Measure the success and impact of AI / GenAI solutions for clients. Provide reports and analytics to demonstrate ROI and continuously identify areas for improvement and further value creation.

Required Skills & Qualifications :

Bachelor’s degree in Business, Telecommunications, Computer Science, Engineering, or a related field (or equivalent work experience).

Proven experience in a client-facing role within the telecom industry, with a strong understanding of telecom operations and technologies.

Deep expertise in AI, machine learning, and generative AI technologies, with a focus on their application in the telecom sector.

Experience in selling AI-driven solutions, preferably in the telecom or technology industries, with a proven track record of sales success.

Strong business acumen with the ability to translate client needs into actionable AI / GenAI solutions.

Excellent communication, presentation, and interpersonal skills, with the ability to explain complex AI concepts in simple terms to both technical and non-technical stakeholders.

Strong project management skills with the ability to manage complex, multi-faceted engagements.

A collaborative mindset, able to work effectively with internal and external teams to deliver exceptional client experiences.

Preferred Qualifications :

Experience with telecom-specific AI applications such as predictive analytics, network optimization, customer service automation (e.g., chatbots, virtual assistants), and fraud detection.

Familiarity with AI platforms, frameworks, and tools (e.g., TensorFlow, PyTorch, GPT models) and cloud-based AI solutions.

Background in data science, machine learning engineering, or a related technical field.

Knowledge of AI ethics and regulations, particularly in telecom environments.