Vp of ai engineering Job at AquSag Technologies (Noida)

VP, Engineering

Hewlett Packard Enterprise is seeking a VP, Engineering to lead its AI Software ...

Location

United States , San Jose

Salary:

192500.00 - 443500.00 USD / Year

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Proven track record leading an AI Software Engineering team in a cloud environment
advanced leadership skills, including coaching, teambuilding, conflict resolution, and management
organizational and strategic management skills, including strategic vision and planning development and forecasting
deep understanding of AI/ML and its various components
advanced relationship management skills, including partnering and consulting with executive/C-level roles for internal and external partners

Job Responsibility

Provide overall strategic leadership for the AI Software products including designing and developing engineering solutions and driving the establishment of the brand within the marketplace
create strategic vision and drive the development of operations and resource plans, goals, and priorities for the AI Software business based on business and technology roadmap and functional objectives
manage overall operational activities for the organization, ensuring that resources are appropriately allocated, and that strategic goals and budgets are met in accordance with organizational metrics and business plans
partner with senior and executive leadership for programs, marketing, supply chain, sales, and technical leaders to integrate activities, escalate and resolve issues, and guide and influence company-wide strategic decision-making
manage and develop executive relationships with external partners and suppliers to ensure that organization is effectively leveraging resources and identifying opportunities for strategic growth and development
grow and develop a world-class software overall by supporting a team of direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development
drive and foster organization-wide performance standards, expectations, and practices to support ongoing team member and process development
develop use cases to enable the AI strategy
partner with internal leaders to drive and enable an integration of solutions

What we offer

Comprehensive suite of benefits supporting physical, financial and emotional wellbeing
personal & professional development programs
unconditional inclusion

Fulltime

Vp of Engineering

We're looking for an experienced VP of Engineering to grow our engineering team ...

Location

Australia , Sydney; Melbourne; Brisbane; Hobart

Salary:

Not provided

UpGuard

Expiration Date

Until further notice

Requirements

Prior leadership experience in a scale-up tech company
Experience in product-forward organizations with strong product engineering practices
Strong foundational software engineering capability
Exceptional people management, coaching, and mentoring capability
Strong communication and interpersonal skills
Experience in enterprise B2B environments
A background or familiarity with cybersecurity
Exposure or experience with AI, machine learning, and/or research-oriented engineering
Prior experience within Big Tech or similarly sophisticated technical environments

Job Responsibility

Technical Strategy & Execution: Set and execute a scalable engineering strategy, aligning technical roadmaps with product vision and business goals
Engineering Leadership & Culture: Build and maintain high-performing engineering teams, emphasizing accountability, innovation, and value delivery—all in alignment with UpGuard's unique culture
Platform Scalability & Reliability: Ensure technology platforms scale sustainably, reliably, and securely to meet current and future business needs
Organizational Efficiency: Optimize engineering processes, structures, and resource allocation to support a scaling team and align with company strategy and product priorities
Cross-functional Alignment: Collaborate closely with Product, Design, Sales, Marketing, and Customer Success stakeholders to ensure strategic alignment, unified execution, and customer-centric delivery
Talent Acquisition & Employer Branding: Own hiring strategy, attract high-caliber engineering talent, and cultivate a compelling employer brand to support organizational growth
Organizational Adaptation: Continuously evolve the engineering organization structure and processes to effectively manage increased scale and complexity

What we offer

Stock Options: share in our future success with stock options
Monthly Lifestyle subsidy: use this for financial, physical and mental wellbeing
WFH set-up allowance: to ensure you have the right environment to work in, we will help you get set-up within your first 3 months at UpGuard
$1500 USD annual Learning & Development allowance: to support your career development all team members will be able to expense development opportunities against this allowance
Generous Annual Leave/PTO allowances: time to recharge your batteries
18 weeks paid Parental Leave: irrespective of parenting role
Personal Leave allowance: this includes sick & carer’s leave
Fully remote working environment: whilst we have physical offices in Sydney & Hobart, we do not mandate compulsory attendance
Top spec hardware: all team members will be provided with top-spec laptops for their role
Generative AI subsidy: UpGuard provides paid subscriptions for all team members to access generative AI tools to support their work

Fulltime

Vp Of Product

As Everseen’s VP of Product Management, you’ll shape the product vision that tra...

Location

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

Organisation level strategy, change management, executive communication and talent development experience required
Proven track record of success in product management or related roles, with 10 years of experience in leadership positions
Master’s/MBA required, executive education preferred
Executive presence, inspirational leadership, strategic vision, culture shaping approach
Exceptional communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization
Customer Focus: Strong business acumen and strategic thinking, with the ability to translate market insights and customer needs into actionable product strategies
Customer Engagement: Builds executive relationships with key customers and industry leaders
Track Record of Success: Accountable for company-wide product success and innovation
Adaptability and Agility: Leads the company through market and organizational change. Proven ability to thrive in a fast-paced, dynamic environment, with a passion for innovation and continuous learning
Analytical and Problem-Solving Skills: Directs organization-wide analytics and strategic initiatives. Analytical mindset and data-driven decision-making skills, with proficiency in leveraging data and metrics to drive product prioritization and performance optimization

Job Responsibility

Product Strategy & Roadmap: Defines company-wide product vision and long-term strategy that aligns with the company's overall objectives and market opportunities. Define and prioritize the product roadmap based on market trends, customer feedback, and business goals
Customer Advocacy: Champions the voice of the customer throughout the product development process, gathering feedback, analyzing data, and leveraging insights to inform decision-making and drive product improvements
Team Leadership:Build and lead a high-performing product team, providing mentorship, guidance, and support to foster a culture of innovation, collaboration, and continuous improvement
Requirement Definition and Product Development: Aligns with Senior Leadership team and board on product led priorities. Oversees the end-to-end product development lifecycle, from ideation and concept validation to launch and iteration, to ensure the released solution complies with the roadmap vision
Customer Focused Analysis: Coordinates market research and competitive analysis to identify and define opportunities for differentiation and growth, staying informed about industry trends, emerging technologies, and customer needs. Assess market TAM’s and prioritize the highest opportunities for growth
Performance Monitoring: Establishes and defines key performance indicators (KPIs) and metrics to track the success and effectiveness of product initiatives, regularly analyzing data and performance metrics to identify areas for optimization and enhancement
Risk Management: Proactively identify and mitigate risks and challenges that may impact product delivery or performance, taking appropriate actions to address issues and ensure project success
Stakeholder communication: Effectively communicate product plans, progress, and priorities to internal teams, executives, and other key stakeholders, fostering transparency and alignment across the organization
SDLC lifecycle management in a leading Vision AI software company
Release Management: Accountable for all releases

Fulltime

Sales Hunter

We are looking for a high-energy Sales Hunter who: Thrives in startup environmen...

Location

United States

Salary:

Not provided

NStarX

Expiration Date

Until further notice

Requirements

12+ years in enterprise consulting or software services sales
Proven experience selling AI/ML, Cloud, Data, or Digital Engineering services
Experience with consulting + platform / subscription sales
Prior experience working with startups or fast-scaling tech firms
Track record of closing new logos worth $2M-$5M
Strong storytelling, value selling, and problem framing skills
Experience selling into 2–3 core verticals (e.g., ISV, Healthcare, Media, Financial Services, Industrial)
A true hunter, not afraid to cold open an enterprise CIO
Excited by ambiguity — because you turn it into opportunity
Ability to work closely with founders & technologists

Job Responsibility

Own the full new business sales cycle — from prospecting to close
Build and manage a pipeline of $10–15M+ annual potential revenue
Target CIO / CTO / CDO / CDAO / CMO / VP Data / VP AI / VP Engineering
Articulate NStarX’s AI Engineering & “Service-as-Software” value proposition
Sell consulting-led + IP-powered engagements
Lead use-case discovery, value positioning & AI business cases
Collaborate with technical pre-sales, solution architects & delivery leads
Close 6- to 7-figure deals in enterprise environments
Represent NStarX at conferences, customer workshops, and onsite sessions
Work with CRO on scaling US GTM motions

What we offer

Competitive base + commission
Fast growth into leadership roles
Competitive base salary
Multi-tier commission plan
On-target earnings aligned to top-tier enterprise sales roles

Fulltime

Vp, Front End Engineer (ai Accelerated)

Do you enjoy solving complex engineering challenges, experimenting with new appr...

Location

United Kingdom , London

Salary:

Not provided

BlackRock Investments

Expiration Date

September 21, 2026

Requirements

7+ years of professional software engineering experience
Strong hands-on proficiency with TypeScript, JavaScript, Angular and React
Deep understanding of web performance, rendering patterns, application security, and modern frontend architectures
Familiarity with cloud platforms (Azure, AWS, GCP)
Experience with CI/CD pipelines, DevOps tooling, or Azure DevOps
Experience leading project teams or owning significant system components
Ability to translate business needs into technical solutions with clarity and practicality
Comfort working in fast-paced, high-complexity domains
Ability to use AI to support design-thinking and architectural decisions, defining patterns and measurable SLO/NFR targets for high-quality engineering outcomes
Curiosity about AI‑augmented engineering, workflow-driven automation, or practical AI productization

Job Responsibility

Collaborate with colleagues across UK, US, India, and other global offices
Build highly available, resilient, and performant frontend systems and frameworks used by thousands of users
Contribute to the evolution of Aladdin’s multi‑asset trading and portfolio management capabilities, using AI to accelerate domain learning and solution design
Shape product direction together with Product, Design, and Engineering leadership
Mentor and guide frontend engineers, helping cultivate a culture of curiosity, inclusion, and technical excellence
Work in an Agile setup where autonomy, ownership, and accountability matter
Use AI proactively from day one, both as a development accelerator and as a tool you validate and refine to ensure highquality outcomes
Ability to combine generalist problemsolving with strong engineering fundamentals, guiding AI tools while retaining human ownership of outcomes
Design elegant solutions from idea to production, with strong engineering discipline and early foundations to keep human and AIgenerated code reliable, clear, and free of technical debt

What we offer

Retirement investment and tools designed to help you in building a sound financial future
Access to education reimbursement
Comprehensive resources to support your physical health and emotional well-being
Family support programs
Flexible Time Off (FTO)

Fulltime

Senior Staff Engineer, Applied AI

GEICO is seeking a Senior Staff Engineer, Applied AI to provide technical archit...

Location

United States , Chevy Chase, MD; Palo Alto, CA

Salary:

130000.00 - 260000.00 USD / Year

Geico

Expiration Date

Until further notice

Requirements

8 or more years of professional software engineering or applied machine learning experience
2 or more years working with Generative AI or LLM-based systems in production
Proven track record of architecting and delivering complex AI/ML capabilities that span multiple teams and have measurable business impact
Deep hands-on expertise with Python and modern AI frameworks including LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face, OpenAI/Anthropic APIs, and emerging agentic frameworks
Demonstrated experience building and deploying production RAG (Retrieval-Augmented Generation) systems including document ingestion, chunking strategies, vector search, and context retrieval
Demonstrated experience designing and operating production AI systems including multi-agent architectures, intelligent automation, and workflow orchestration
Strong understanding of agent architectures, workflow orchestration, retrieval-augmented generation (RAG), vector databases, knowledge graphs, and semantic reasoning
Familiarity with Agent-to-Agent (A2A) communication protocols and Model Context Protocol (MCP) for building interoperable AI systems
Experience ensuring platform scalability, cross-domain coherence, and alignment with AI platform capabilities and strategy
Strong expertise in distributed systems, microservices architecture, service design, performance optimization, and reliability engineering

Job Responsibility

Specify architectures and system decompositions for AI/ML capabilities that involve significant integrations and cross-team collaboration across multiple product areas
Provide technical architecture and leadership for medium to large, complex, cross-functional AI initiatives with visibility at the tech VP level
Architect and lead implementation of advanced Generative AI solutions including agent-based systems, intelligent automation, document intelligence, and decision support systems that span multiple business domains
Design and implement sophisticated agentic workflows that orchestrate multiple AI agents, tools, APIs, reasoning steps, and business logic to automate complex enterprise processes at scale
Question status quo with an eye for simpler designs and more secure approaches, influencing tech VPs to set direction for multiple teams
Build systems and platforms that meet the highest standards for scalability, resilience, performance, availability, security, and compliance
Identify and scope opportunities for automating business processes using AI across multiple product areas and business domains
Advance the state-of-the-art in applied AI by integrating knowledge graphs, vector reasoning, retrieval architectures, and multi-agent systems to solve complex business problems
Drive innovation by exploring new models, frameworks, reasoning techniques, and AI architectures and applying them strategically to high-impact business challenges
Run rigorous experimentation programs including hypothesis definition, A/B testing, measurement frameworks, and iterative improvement across production AI systems

What we offer

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being
Financial benefits including market-competitive compensation
a 401K savings plan vested from day one that offers a 6% match
performance and recognition-based incentives
and tuition assistance
Access to additional benefits like mental healthcare as well as fertility and adoption assistance
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year

Fulltime

Director of Data, ML & AI Engineering

As Director of Data, ML & AI Engineering, you will lead the design, delivery, an...

Location

United Kingdom , London

Salary:

Not provided

Collinson

Expiration Date

Until further notice

Requirements

Senior leadership experience across data, platform, ML, and/or AI engineering in enterprise or federated environments
Deep understanding of modern cloud-native data platforms, large-scale distributed systems, and emerging data technologies
Proven experience delivering and evolving enterprise-scale data and AI platforms from inception to production
Hands-on knowledge of ML/AI operationalisation, including pipelines, lifecycle management, and experimentation frameworks
Demonstrated capability managing cost, risk, security, and compliance at scale
Strong people leadership and team development experience, promoting inclusion, clarity, and accountability
Ability to translate complex technical concepts into business impact with senior stakeholders
A collaborative, adaptive leadership style that encourages openness, trust, and curiosity

Job Responsibility

Lead the design and evolution of enterprise-grade data, ML, and AI engineering platforms, covering ingestion, transformation, feature management, model pipelines, and deployment
Ensure platforms are resilient, scalable, and production-ready to support both analytics and AI workloads
Balance continuous innovation with operational reliability, service continuity, and business value
Lead multiple engineering squads across data, platform, ML, and AI engineering disciplines
Establish clear engineering standards, ownership models, and accountability frameworks
Embed modern delivery practices such as DevOps, DataOps, MLOps, and AIOps to improve reliability and speed
Champion operational excellence, predictable delivery, and effective incident management
Partner with the VP of Analytics and Head of Innovation & AI to align platform capabilities with insight delivery, experimentation, and AI productisation
Provide high-quality, governed, production-ready data products and shared tools that empower analytics and AI teams
Accelerate time to value through automation, reusable patterns, and scalable platform abstractions

Senior Technical Recruiter, Software Engineering

We are seeking a Senior Technical Recruiter to focus on hiring for our software ...

Location

United States , Palo Alto

Salary:

132000.00 - 186000.00 USD / Year

1X Technologies

Expiration Date

Until further notice

Requirements

Extensive full-cycle technical recruiting experience, ideally in high-growth tech or robotics companies
Proven success sourcing and hiring for software engineering roles in competitive markets such as the Bay Area
Strong grasp of technical concepts and fluency in assessing candidates across embedded systems, firmware, and core software engineering
High agency, low ego—able to operate independently and deliver high-impact results
Creative thinker with the ability to question and refine talent acquisition strategies

Job Responsibility

Own full-cycle recruiting for technical roles in software engineering and adjacent domains
Partner directly with the VP of Software and hiring managers to define needs, craft job descriptions, and calibrate candidate profiles
Proactively source top-tier engineering talent through outbound outreach, networking, and events
Drive a world-class candidate experience from first contact to offer acceptance
Optimize interview processes, scorecards, and tools for efficiency and consistency
Collaborate cross-functionally with People Operations and HR to scale recruiting systems and infrastructure
Contribute to employer branding initiatives across engineering channels and communities

What we offer

Health, dental, and vision insurance
401(k) with company match
Paid time off and holidays

Fulltime

Vp of ai engineering

AquSag Technologies

Location:
India , Noida

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 29, 2026

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