1,144 AI Sales jobs in India

Job Purpose

We are seeking a motivated and seasoned Senior Sales Specialist with a strong background in cloud computing and artificial intelligence solutions. This role involves identifying strategic business opportunities, managing large sales pipelines, closing high-value deals, and fostering long-term client relationships with enterprise customers. The ideal candidate will combine technical understanding of cloud and AI platforms with excellent communication and negotiation skills to tailor solutions that fit client needs and market trends.

Roles & Responsibilities

• Cloud Sales Specialists are primarily responsible for selling cloud services and solutions to clients.
• Develop and execute strategic sales plans targeting cloud computing and AI-driven solution markets.
• Identify, qualify, and engage potential enterprise clients in various industries to promote cloud and AI products and services.
• Pitch and sell cloud services and solutions to prospective and existing clients
• Develop and manage a sales pipeline and forecast business opportunities
• Provide technical presentations and demonstrations of cloud-based solutions
• Work closely with the technical team to design and implement cloud-based solutions tailored to the clients’ needs
• Negotiate and close sales deals in a timely and efficient manner
• Maintain up-to-date knowledge of the competitive landscape and market trends
• Contribute to the development of sales strategies and set individual sales goals
• Collaborate closely with solution architects and technical teams to develop customized proposals and ensure successful implementation.
• Maintain deep industry and competitor knowledge to refine sales strategies and advise product development teams.
• Build and sustain strong relationships with current and prospective customers to ensure high customer satisfaction and repeat business.
• Track sales metrics, manage CRM pipelines, and provide accurate sales forecasts and reports.

EDUCATIONAL QUALIFICATIONS: (degree, training, or certification required)

• Bachelor’s or Master’s degree in Business, Computer Science, Engineering, or related field preferred.

RELEVANT EXPERIENCE: (no. of years of technical, functional, and/or leadership experience or specific exposure required)

• 10-12 years of proven experience in sales, specifically within cloud computing and/or AI-driven solution environments.
• Strong understanding of cloud service models (IaaS, PaaS, SaaS) and AI technologies (machine learning, natural language processing, automation).
• Excellent consultative sales and negotiation skills with a track record of closing complex enterprise deals.
• Experience in managing long sales cycles and developing large-scale sales pipelines.
• Ability to communicate complex technical concepts clearly to non-technical stakeholders.
• Relevant cloud certifications (AWS, Microsoft Azure, Google Cloud) and AI-related credentials are highly advantageous.
• Strong interpersonal, leadership, and team collaboration abilities.

At QpiAI, we are looking for a dynamic AI Solution Consultant with strong experience in pre-sales, AI solutioning, and strategic consulting. You will play a pivotal role in understanding client business needs—particularly across manufacturing, healthcare, and supply chain industries —and translating them into high-impact software and AI solutions using QpiAI’s product suite. This role blends deep product understanding, consultative thinking, and storytelling into one.

Key Responsibilities:

• Technical & Business Discovery:
• Deeply understand the technical and functional nuances of QpiAI’s products (QpiAI PRO, Agent Hive etc.).
• Analyze customer requirements, industry-specific workflows, and operations.

• Solution Recommendation & Strategy:
• Recommend tailored AI and software solutions with clear business value and alignment to customer pain points.
• Build and present ROI models, solution blueprints , and measurable impact frameworks.

• Pre-Sales Enablement:
• Craft compelling presentations, pitch decks, product demos, proposals , and project implementation plans .
• Participate in pre-sales calls, RFPs/RFIs, and client workshops alongside sales and product teams.

• Thought Leadership & Content Creation:
• Write and review technical blogs, case studies, whitepapers , and product videos to support demand generation and brand positioning.
• Contribute to GTM strategy by providing competitive and customer intelligence.

• Cross-Functional Collaboration:
• Work closely with Sales, Product, Marketing, and Customer Success to refine positioning, align on customer outcomes, and influence roadmap through market feedback.

Tool Proficiency:

• Use AI tools for content, research, and personalization.
• Build insights using Google Sheets/Excel , PowerPoint , and Power BI (basic to intermediate) for client-facing and internal use.

Requirements:

• 4+ years of experience in Pre-Sales Consulting, Business Analysis, SaaS Sales Strategy ,Strategic Consulting or similar roles—preferably in AI-first or deep-tech startups .
• Strong exposure to B2B software , AI / Agentic AI concepts , and enterprise software lifecycle .
• Experience engaging with CXO-level stakeholders across business and technical teams.
• Exceptional written and verbal communication skills with a flair for simplifying complex technical narratives .
• Proficiency in tools like PowerPoint, Google Workspace, Excel, Power BI , and AI-based productivity tools.
• A strategic thinker with a hands-on execution mindset.
• MBA from a reputed institution preferred, but not mandatory.

Bonus Skills (Nice to Have):

• Experience in building interactive demos, or light prototypes.
• Domain knowledge in AI applications for multi agent systems, digital twins, generative AI, or intelligent automation .

Why Join QpiAI?

At QpiAI, we are at the forefront of agentic AI innovation . You will be part of a team pioneering domain targeted multi-agent systems , with enterprise-grade performance, and real-world automation that moves beyond chatbots into scalable decision-making agents.

This is a unique opportunity to join a fast-growing team, work with cutting-edge technology, and drive the adoption of next-generation AI across global enterprises .

This role also mandates consistent work from the office and travel to customer locations, with limited grant of work from home. If you possess the required skills and are excited to join our team in pushing the boundaries of what is possible with AI solutions consulting, we encourage you to apply.

Job Title: AI Solutions Sales Specialist (Generative AI Automation)

Location: Hyderabad, India

Type: Full-Time | Onsite/Hybrid

Job Description:

We are seeking a results-driven AI Solutions Sales Specialist with expertise in Generative AI and AI Business Automation to join our growing team in Hyderabad. This role focuses on selling cutting-edge Conversational AI, Generative AI, and Automation solutions to mid-market and enterprise clients across various industries.

Key Responsibilities:

• Identify, qualify, and close new business opportunities for AI-powered automation solutions.
• Engage with CXOs, IT decision-makers, and business leaders to understand their automation needs.
• Present and position AI solutions including Conversational AI, AI Agents, and Generative AI tools.
• Work closely with solution architects and delivery teams to shape tailored client proposals.
• Collaborate with marketing to run campaigns, webinars, and events focused on AI transformation.
• Maintain and expand a pipeline of qualified leads and opportunities using CRM tools.

Requirements:

• 3+ years of experience in enterprise technology sales, preferably in AI, automation, or SaaS.
• Strong knowledge of Generative AI, Conversational AI, RPA, or Intelligent Automation platforms.
• Proven track record of meeting or exceeding sales targets.
• Excellent communication, presentation, and negotiation skills.
• Experience working with partners such as Microsoft, AWS, SAP, or Kore.ai is a plus.

Preferred:

• Bachelor's degree in Business, Engineering, or a related field.
• Familiarity with AI platforms and no-code/low-code tools.
• Passion for AI innovation and digital transformation.

Please fill the below Google Form to get the interview process started:

Job Title : AI Solutions Engineer (AWS Ecosystem Preferred) – Mid-Level

Location: Bangalore (Hybrid)

Job Type: Full-Time

CTC - up to 12LPA

CloudZenia is seeking a mid-level AI Solutions Engineer with expertise in building and deploying GenAI and ML solutions on the AWS ecosystem. You’ll work closely with customers and cross-functional teams to deliver high-impact, scalable AI/ML applications that solve real-world business challenges.

Key Responsibilities: -

• Design and implement AI/ML solutions tailored to complex customer challenges.
• Translate complex customer challenges into optimized Al/ML solutions.
• Build and deploy Agentic Al systems and RAG-powered applications.
• Develop and optimize pipelines using Python, PyTorch, TensorFlow, LangChain.
• Architect and deploy solutions using AWS GenAI & ML services (Bedrock, SageMaker, Kendra, Lex, Lambda, S3, etc.).
• Implement MLOps best practices: CI/CD for ML, monitoring, retraining, and scaling.
• Work with structured and unstructured data, including text, images, and embeddings.
• Collaborate with customers, architects, and product managers to ensure clear communication and measurable impact.
• Balance performance, cost, and security in every solution.

Requirements:-

• 04 years of experience in AI/ML development, with at least 2 years in GenAI applications.
• Strong programming skills in Python and experience with ML frameworks.
• Hands-on experience with Agentic AI, vector databases (Pinecone, Weaviate, FAISS, OpenSearch), and RAG architectures.
• Familiarity with prompt engineering, fine-tuning, and evaluation of LLMs.
• Knowledge of MLOps practices, version control, and deployment workflows.
• Experience with AWS GenAI and ML services; cloud-native architecture knowledge is a plus.
• Excellent problem-solving and communication skills.
• Awareness of data security, governance, and cost optimization (FinOps mindset).

About the Company:

CloudZenia is an IT services company specializing in Managed DevOps, Cloud Engineering, Migration, Backup & DR, Security Solutions, and Managed Services. We deliver tailored, scalable, and cost-efficient cloud solutions that enhance reliability, performance, and operational efficiency for businesses across industries.

Network Science is a London based AI consulting company on a mission to AIfy businesses. We help leading organizations unlock genuine business value through intelligent automation and productivity tools. Our team is made up of hands-on problem solvers who take pride in ownership, curiosity, and teamwork. If you’re eager to work on cutting-edge tech and shape the future of enterprise AI, you’ll feel right at home here.

Role: AI Solutions Architect

Location: Onsite – Mumbai, India

AI Solution Architect

Functional Expertise:

- Design end-to-end AI solutions for enterprise customers

- Create reference architectures for common use cases: NSOffice.ai (AI agents, RAG systems, fine-tuning pipelines, multi-modal applications)

- Define integration patterns between our AI Gateway and customer systems (CRM, ERP, data warehouses, internal APIs)

- Architect multi-model orchestration strategies that optimize for cost, performance, accuracy, and compliance

- Design data pipelines between AI gateway and Enterprise customers

Technical Expertise:

- Experience building AI agents, multi-agent systems, and agentic workflows

- Strong knowledge of prompt engineering, fine-tuning, embeddings, and RAG

- Deep understanding of LLMs - architecture, capabilities, limitations, and best practices

- Knowledge of AI safety, bias mitigation, and responsible AI principles

- Hands-on experience with major AI providers: OpenAI (GPT-4+), Anthropic (Claude), Google (Gemini), AWS Bedrock

- Understanding of model evaluation metrics and performance optimization

Other Requirements: 

- 4+ years in solution architecture

- 2+ years specifically in AI/ML solutions and implementations

- Proven track record of delivering complex technical projects

• - Education: CS (BE / BTech / MS) with Data & AI specialisation

What We Offer

• Opportunity to shape and deliver AI adoption journeys across industries.
• Hands-on involvement in both strategic advisory and project delivery governance.
• Exposure to global clients and diverse industry use cases.
• A collaborative environment with continuous learning and access to the latest AI tools and research.

• Design and architect end-to-end AI and machine learning solutions tailored to client needs.
• Evaluate and select appropriate AI/ML frameworks, algorithms, and platforms.
• Lead the development and deployment of AI models, ensuring performance, scalability, and reliability.
• Collaborate with data scientists, engineers, and product managers to bring AI solutions to life.
• Define technical standards, best practices, and governance for AI development and deployment.
• Provide technical leadership and mentorship to development teams.
• Assess client infrastructure and recommend optimal cloud-based solutions (AWS, Azure, GCP).
• Develop proof-of-concepts (POCs) and prototypes to demonstrate the value of AI solutions.
• Translate complex business problems into quantifiable AI/ML project objectives.
• Stay abreast of the latest advancements and research in AI, ML, and related fields.
• Communicate technical strategies and complex concepts effectively to both technical and non-technical stakeholders.
• Ensure the ethical and responsible development and deployment of AI systems.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in AI/ML development and architecture.
• Proven track record of designing and implementing large-scale AI solutions.
• Deep understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning), deep learning, NLP, and computer vision.
• Expertise in cloud AI platforms (e.g., AWS SageMaker, Azure ML, Google AI Platform).
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, or Keras.
• Strong knowledge of data engineering principles and MLOps practices.
• Excellent problem-solving, analytical, and architectural design skills.
• Exceptional communication and presentation abilities, essential for remote collaboration.
• Experience in leading technical teams and guiding architectural decisions.
• Familiarity with Big Data technologies (e.g., Spark, Hadoop) is beneficial.