Role Overview

As an Artificial Intelligence Engineer III at Arrow Electronics in Bangalore, India, you'll join a world-class team driving digital transformation in the global electronics supply chain. This senior-level position demands deep expertise in AI and machine learning, where you'll tackle complex challenges that shape the future of technology distribution. Arrow Electronics, a Fortune 500 company with over $33 billion in annual revenue, relies on innovative AI solutions to optimize inventory management, predict demand fluctuations, enhance customer experiences, and streamline global operations.

In this role, you'll work independently with minimal supervision, serving as a technical authority and mentor to less experienced colleagues. The position represents career stability at its finest—a role where you can excel for years, potentially until retirement, while continuously pushing technological boundaries. You'll apply best practices and deep business knowledge to improve products, services, and processes, often resolving unprecedented problems where no clear precedents exist. Leading project teams and formally training junior staff will be key aspects of your leadership responsibilities.

Bangalore's Global Engineering Services Center (GESC) serves as Arrow's innovation hub in Asia, hosting elite teams that develop cutting-edge solutions for clients worldwide. Your work will directly impact Arrow's ability to deliver value to electronics manufacturers, distributors, and enterprise customers across 90+ countries.

Day in the Life

Your typical day as an AI Engineer III begins with a stand-up meeting with your scrum team, reviewing progress on ongoing AI initiatives like demand forecasting models or anomaly detection systems for supply chain disruptions. You'll spend the morning diving deep into model optimization, fine-tuning neural networks using TensorFlow or PyTorch to achieve sub-millisecond inference times on edge devices.

Post-lunch, you might lead a technical review session, mentoring junior engineers on best practices for model deployment using Kubernetes and Docker containers. Afternoons often involve cross-functional collaboration—perhaps working with supply chain analysts to integrate your latest computer vision model for automated warehouse inventory tracking, or partnering with data scientists on NLP solutions for processing customer feedback at scale.

Expect dedicated research time to explore emerging technologies like transformer architectures or federated learning, ensuring Arrow stays ahead of industry curves. Complex problem-solving sessions might address real-time challenges, such as adapting AI models to sudden geopolitical supply disruptions. Evenings could wrap up with code reviews, documentation updates, or strategic planning for the next sprint. The hybrid work environment offers flexibility, with modern facilities at the SKAV Seethalakshmi campus providing collaborative spaces, high-speed internet, and recreational amenities.

Why Bangalore, India?

Bangalore, Karnataka's Silicon Valley of India, represents the perfect ecosystem for AI innovation. Home to 10,000+ tech startups and global giants like Infosys, Wipro, and now Arrow Electronics' expanding GESC, the city pulses with technological energy. With over 1,500 software engineers per square mile, Bangalore offers unparalleled talent density and collaboration opportunities.

The city's world-class infrastructure includes Electronic City, Whitefield tech parks, and the new Peripheral Ring Road easing commutes. Bangalore International Airport connects you globally, while the metro rail expansion enhances daily mobility. Cost of living remains attractive—120% lower than Silicon Valley—allowing substantial savings on that competitive salary.

Cultural richness abounds: from Cubbon Park's greenery to vibrant street food scenes, UB City luxury shopping, and proximity to hill stations like Coorg for weekend getaways. Bangalore's 25% of India's AI talent pool ensures constant knowledge exchange, while English prevalence facilitates seamless global teamwork. Government initiatives like Karnataka's AI Mission further boost ecosystem growth, making this the ideal launchpad for your AI career at Arrow.

Career Growth Path

Arrow Electronics invests heavily in talent development, offering clear progression from AI Engineer III to Principal AI Engineer, AI Architect, and Director of AI Engineering. High performers advance to global leadership roles across Arrow's 220+ locations worldwide. Internal mobility programs facilitate transitions to US, Europe, or APAC hubs.

Professional growth includes certifications (AWS ML Specialty, Google Professional ML Engineer), conferences (NeurIPS, CVPR), and executive MBA sponsorships. Leadership tracks lead to managing 20+ engineer teams, while technical tracks culminate in Distinguished Engineer status. Arrow's 15% internal promotion rate from senior individual contributor roles demonstrates genuine upward mobility.

Compensation & Benefits

Compensation reflects Bangalore's premium tech market while remaining globally competitive. Beyond base salary, expect 15-25% annual bonuses, stock options, and profit-sharing. Comprehensive benefits include family health insurance, 25+ paid leaves, 6-month maternity/paternity leave, and retirement contributions matching 12% of salary.

Professional development receives 40 hours annual training plus ₹1,00,000 learning budget. Wellness perks feature gym memberships, annual health checkups, and mental health counseling. Transportation allowances cover cabs or car leases, while meal subsidies make on-site dining affordable. Relocation assistance for inter-city moves includes temporary housing and family support.

Team & Culture

Arrow's Bangalore GESC fosters a collaborative, high-performance culture blending American innovation with Indian work ethic. Diverse teams represent 15+ nationalities, promoting inclusive practices through ERGs, Diwali celebrations, and international potlucks. Flat hierarchies encourage open dialogue—your ideas reach C-suite executives quickly.

Modern campus facilities include collaborative workspaces, quiet pods, game rooms, and amphitheaters. Agile practices with two-week sprints ensure rapid delivery without burnout. Recognition programs celebrate quarterly top performers with global trips and cash awards. CSR initiatives engage employees in education and sustainability projects, aligning personal values with corporate impact.

How to Apply

Ready to shape Arrow's AI future? Submit your resume highlighting AI project leadership and complex problem-solving achievements. Include GitHub/portfolio links showcasing production ML models. Our talent acquisition team reviews applications within 48 hours, with initial technical screens followed by coding challenges, system design interviews, and leadership discussions. Join us in revolutionizing electronics distribution through artificial intelligence.

FAQ Section

Q: What AI technologies does Arrow prioritize?
A: We focus on supply chain AI including demand forecasting, anomaly detection, computer vision for logistics, and NLP for customer insights.

Q: Is relocation support available?
A: Yes, comprehensive packages include temporary housing, moving expenses, and family settling assistance.

Q: What's the team structure?
A: 12-15 member agile squads with data scientists, ML engineers, DevOps, and domain experts reporting to AI Directors.

Q: Are there opportunities for global travel?
A: Frequent—client implementations in US/Europe and conferences worldwide.

Q: What cloud platforms do you use?
A: Multi-cloud strategy: AWS SageMaker, Azure ML, Google Vertex AI.

Q: Is hybrid work supported?
A: Yes, 3 days office + 2 days remote with manager approval.

Q: What's the interview process?
A: Resume screen, coding test, ML system design, behavioral interview, leadership case study.

Q: Do you sponsor visas?
A: Primarily for intra-Arrow transfers; local hiring preferred for this role.

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