AI Solutions Sales Lead Job at Left Right Mind (Pune)

Director - Healthcare & Generative AI Solutions Lead

We are looking for an executive-level leader based in India who deeply understan...

Location

India , Ahmedabad

Salary:

Not provided

Dash Technologies

Expiration Date

Until further notice

Requirements

10–15 years of experience in IT services / IT consulting
Minimum 5–7 years focused on the US healthcare market (providers, payers, MedTech/HealthTech)
Hands-on experience with Generative AI in a business / product / solution context is essential
Strong background in at least one of: Healthcare digital transformation, clinical workflows, RCM, patient engagement, care management, or healthcare analytics
Proven track record building or productizing solutions/accelerators in an IT services environment
Comfortable interacting with CXO/VP-level stakeholders in US healthcare organizations and explaining AI concepts in simple business language
Understanding of US healthcare regulations and standards (HIPAA, PHI handling)
Experience working with distributed/global teams with some overlap to US time zones
Excellent English communication – written, verbal, and presentation

Job Responsibility

Analyze the US healthcare market and identify high-value problems within healthcare customer segments
Design and build AI-powered solution accelerators (LLM-based tools, workflows, reference architectures, PoCs)
Conduct deep research on the US healthcare ecosystem with a lens on where AI can create value
Analyze trends in healthcare + AI
Map and prioritize opportunities based on revenue potential, feasibility, and alignment with our capabilities
Run structured discovery with customers/prospects and internal stakeholders
Identify concrete generative AI use cases in healthcare
Work with technical/AI teams to design and build accelerators
Define the architecture at a high level and ensure alignment with compliance standards
Ensure accelerators are repeatable, configurable, and implementable across multiple clients

Fulltime

Sales Engineering Lead

We are looking for a passionate Sales Engineering Lead – UK who can blend techni...

Location

United Kingdom , London

Salary:

Not provided

EvoluteIQ

Expiration Date

Until further notice

Requirements

7+ years in pre-sales, solution consulting, or technical sales roles
Experience in automation, AI, or data-driven enterprise solutions
Strong understanding of enterprise architectures and integration models
Exceptional communication, presentation, and storytelling skills
Ability to collaborate cross-functionally in fast-paced, high-growth environments
Technical foundation (Engineering, Computer Science, or equivalent background preferred)

Job Responsibility

Partner with regional sales teams to identify and qualify automation opportunities
Design and deliver tailored product demos, proof-of-concepts, and solution workshops
Translate complex client requirements into impactful solution narratives
Collaborate with Engineering and Solution Teams to align capabilities with client needs
Build technical and business proposals highlighting measurable ROI and transformation value
Represent EvoluteIQ at UK industry events and customer innovation forums

What we offer

Opportunity to shape the strategy of a next-gen Agentic Automation platform
Work with a cross-disciplinary team in a fast-growing, innovation-driven environment
Competitive compensation and growth opportunities
A culture of innovation, ownership, and continuous learning

Fulltime

Private Cloud AI Solution Architect

The Private Cloud AI Solution Architect is responsible for architecting solution...

Location

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Comprehensive knowledge of Generative AI (GenAI) and the ability to demonstrate, design, and architect solutions
Overall solutioning responsibility for HPE Private Cloud AI solutions that allow the customer to accommodate existing architectures providing a managed-service model data privacy, governance and compliance in order to achieve workloads like inference to achieve predictable operating costs
A track record of delivering AI, private cloud, or enterprise IT solutions with measurable success
Familiarity with NVIDIA-based solutions and HPE’s AI technologies is highly desirable
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Advanced experience participating in and leading solution configurations and the creation of demos and proofs-of-concept (POC) to meet customer requirements
Advanced understanding of the company portfolio of products, software, services, solution domain specialization, adjacent solution domain(s), and how they can be combined to address customer needs
Advanced ability to translate aaS and complete ecosystem, differentiated value, solutions, and workloads and ability to prioritize aaS offerings and consumption models that will achieve the customer’s outcomes and greatest return
Advanced understanding of aaS business model variations
Advanced ability to collaborate cross-functionally to ensure consistency of output and meet aaS strategic goals

Job Responsibility

Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support
Drives the Account Business Planning process, leveraging knowledge of industry trends and the customer’s technical environment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Applied AI Engineer - AI Solutions

As an Applied AI Engineer, you’ll research and utilize state-of-the-art Gen AI a...

Location

United States , Redwood City; San Francisco

Salary:

172000.00 - 300000.00 USD / Year

Snorkel AI

Expiration Date

Until further notice

Requirements

B.S. degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics, or comparable degree/experience
3+ years of customer-facing experience in the design and implementation of AI/ML solutions
Proficiency in Python, including strong grounding in software engineering fundamentals (e.g., modular design, testing, profiling, packaging) and experience with modern Python constructs and libraries for type validation and typed data modeling (e.g., pydantic), building type-safe systems (e.g., mypy), testing (e.g., pytest), packaging and environment configuration (e.g., poetry), API and service frameworks (e.g., FastAPI), serialization and structured data handling (e.g., msgspec), and orchestration tooling relevant to ML deployment (e.g., Ray, Airflow)
Expertise across the Applied AI stack, spanning classical ML libraries (e.g., scikit-learn), deep learning frameworks (e.g., PyTorch), foundation-model ecosystems (e.g., Hugging Face Transformers), vector/embedding tooling (e.g., FAISS), data processing frameworks (e.g., pandas, Spark), retrieval/RAG tooling (e.g., Chroma, Weaviate), synthetic dataset curation, evaluation workflows, and LLM orchestration, workflow, agent authoring tools (e.g., LlamaIndex, LangGraph, CrewAI)
Experience leading strategic, customer-facing initiatives and collaborating with business stakeholders to ensure ML solutions drive successful business outcomes, with a strong focus on teaching and enablement
Outstanding presentation skills to technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
Ability to work in a fast-paced environment and balance priorities across multiple projects at once

Job Responsibility

Partner with customers to build and deploy impactful Gen AI and machine learning solutions, from use case scoping and data exploration to model development and deployment. This may involve leveraging Snorkel Flow or designing custom approaches using state-of-the-art tools, with the goal of delivering real business value and informing the evolution of the Snorkel platform
Develop and implement state of the art AI systems such as retrieval-augmented generation (RAG), fine-tuning pipelines, prompt engineering recipes and agentic workflows
Create augmented real-world datasets and comprehensive evaluation workflows to ensure model reliability, transparency, and stakeholder trust. A data- and evaluation-first mindset is essential for success in this role
Forge and manage relationships with our customers’ leadership and stakeholders to ensure successful development and deployment of AI projects with Snorkel Flow
Collaborate closely with pre-sales Solutions and Product teams to map customer needs to existing capabilities, prioritize roadmap gaps, and guide successful project setup
Work with other Applied AI Engineers to standardize solutions and contribute to internal tooling and best practices
Lead stakeholder education on quantitative capabilities, helping them to understand the strengths and weaknesses of different approaches and what problems are best-suited for Snorkel AI
Serve as the voice of our customers for new AI paradigms, data science workflows, and share customer feedback to product teams
Conduct one-to-few and one-to-many enablement workshops to transfer knowledge to customers considering or already using Snorkel AI
Annual travel up to 25%

What we offer

equity in the form of employee stock options

Fulltime

Senior Sales Technical Lead

The Senior Sales Technical Lead plays a pivotal role in shaping and driving reve...

Location

United States , Philadelphia

Salary:

Not provided

Aramark

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Business, Engineering, Information Systems, or related field
5+ years of experience in technical sales, solution architecture, or commercial operations with demonstrated success supporting large-scale enterprise or public sector engagements
Proven experience creating sales collateral, managing RFPs, and leading complex cost and pricing analyses
Excellent communication skills—able to translate technical concepts into business value for executive audiences
Experience leveraging CRM, CPQ, or analytics platforms (Salesforce, HubSpot, Power BI, or similar)

Job Responsibility

Serve as a trusted technical advisor during the sales cycle, providing deep product knowledge and hands-on expertise in customer engagements, demonstrations, and workshops
Develop and maintain standardized technical sales content, pitch decks, product one-pagers, and solution narratives to drive consistency and quality in client-facing materials
Partner with marketing, technology, and business development teams to align messaging, positioning, and value articulation across all sales engagements
Lead and standardize the RFP and proposal response process, ensuring high-quality, cohesive, and on-brand submissions
Partner with finance and operations to update and maintain pricing frameworks and commercial models, including scenario modeling and win/loss analysis
Collaborate with product and engineering teams to communicate market feedback and shape the roadmap based on emerging customer needs
Support live client visits, trade shows, and demonstrations as part of the sales team, providing both technical insight and consultative partnership
Identify and integrate innovative tools, AI solutions, and automation platforms that enhance the efficiency and precision of the sales cycle
Champion digital transformation initiatives that improve the way we sell, forecast, and engage customers
Build and maintain dashboards and performance metrics to track conversion, cycle time, pricing trends, and margin performance

AI Sales Consultant

Responsible for architecting solutions that will achieve customer business outco...

Location

Malaysia , Kuala Lumpur

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

First-level university technical degree or equivalent technical qualifications
Advanced degree in technology preferred
8–12 years of technical experience in IT with a focus on technical consulting and solution selling
Knowledge-based as well as 1+ experienced-based relevant industry certifications very strongly preferred
Enterprise architecture frameworks and project management methodologies and certifications are helpful, but not required

Job Responsibility

Demonstrates in-depth knowledge in one or more solution domains, company products, services, and solutions as well as the customer’s technical and business environment
Develops compelling customer proposals and critically reviews them, manages the expectations of internal stakeholders and customers, ensuring the meeting of customer’s business and technical requirements are met
Quantifies the impact of the business problem(s), positions business value, identifies the strengths and weaknesses of the overall proposed solution to achieve long-term business objectives
Provides input to all global business units to address IT trends, requirements, gaps, or unmet needs
Translates outcome-based solutions into a functional solution design that aligns to the customers business needs, and then translates that functional design into a technical design and architecture that can be scaled to accommodate growth
Communicates how the solution value propositions addresses customer business needs
Tracks leading-edge and emerging technologies
Contributes to industry development for one or more domains through conferences (content support/presentations, demos, booth support) and industry events, while also monitoring social media
Incorporates an understanding of technology trends within the IT industry, as well as the customer’s industry
Actively gathers and applies competitive intelligence as a critical component of account support

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Pre-Sales Solution Engineer

We are seeking a highly skilled Enterprise focused Pre-Sales Solution Engineer t...

Location

Salary:

Not provided

LakeFS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field
5+ years of experience in a technical pre-sales or solution engineering role, preferably in the software industry
Excellent verbal and written communication skills, with the ability to deliver technical presentations to both technical and non-technical audiences
Hands-on experience with Kubernetes and containerized environments
Experience leading client workshops, sales enablement sessions, and technical training
Ability to work independently as well as collaboratively across sales, product, and engineering teams
Excellent problem-solving skills and a creative approach to architecting solutions
Experience in technical sales of open source products is preferred
Strong understanding and hands-on experience in the Data & AI ecosystem, including: Data lake and data warehouse technologies (e.g., S3, Delta Lake, Iceberg, Hive, Glue, Snowflake)
Data processing frameworks (e.g., Spark, Databricks, Flink, Trino, Presto)

Job Responsibility

Own the technical win from discovery through demo, architecture design, pilot/POC, security review, and a clean handoff to Customer Success
Design and present tailored demos that showcase branch‑based workflows, reproducible experiments, schema‑safe changes, and instant data rollback
Scope and execute pilots with clear success criteria
create sample repos, notebooks, and automation (Spark/Databricks jobs, Airflow DAGs, CI pipelines) that prove value quickly
Build reference architectures for lakeFS OSS and Cloud across AWS/Azure/GCP
document IAM roles, private networking, scaling, GC/performance tuning, and disaster recovery
Answer deep technical questions as a lakeFS SME
Handle RFPs and security questionnaires
map controls to customer requirements and recommend compliant deployment patterns
Partner with sales to quantify business impact (risk reduction, developer velocity, storage efficiency) and co‑create the ROI/TCO narrative with champions