Become a Privacy Engineer.

NLP Engineers build production language systems — Indic-language models, automatic speech recognition (ASR) and synthesis (TTS), document understanding for enterprise paperwork, IVR and voice-bot stacks for Indian customer support, named-entity recognition and information extraction, and the increasingly common multimodal pipelines that fuse text with vision and speech. The work blends applied research, production engineering, and dataset craft: you train and fine-tune transformer models for low-resource Indic languages, curate parallel corpora and labeled datasets, optimize inference for cost, debug failure modes that only show up in code-mixed Hindi-English speech or in handwritten Tamil documents, and own quality SLOs that mix accuracy, latency, and fairness across 22 official Indian languages. In India through 2026, NLP is one of the highest-impact applied-AI specializations because the global English-first NLP literature transfers poorly to Indic languages — concentrated demand sits at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Yellow.ai), the public-good NLP groups at AI4Bharat (IIT-Madras) and Bhashini (Government of India), enterprise SaaS (Freshworks, Zoho ZIA, Postman, Verloop, Haptik), fintech (Razorpay, Cred, Paytm, M2P, IDfy), and the GCCs of Microsoft, Google, Adobe, and Amazon.

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Keep production systems fast, available, and observable for millions of users — by writing software that automates operations, runs capacity planning, designs SLOs and error budgets, and owns the on-call rotation for critical services. The role sits between software engineering and operations: you write Go / Python / Rust code, build reliability tooling, design distributed systems for resilience, run incident response, and push back on product launches that risk SLOs. In India, SRE is a premium specialization concentrated at FAANG-IN (Google SRE Bengaluru, Amazon, Microsoft IDC, Netflix India), product unicorns (Razorpay, Flipkart, Swiggy, Dream11, PhonePe, Zerodha), and the GCCs of high-traffic US firms (Uber, LinkedIn, Atlassian, GitHub, Cloudflare, Stripe). The work overlaps with DevOps but skews more toward software engineering: reliability is a product, not a process. Senior SRE pay in India sits at the very top of the technology bracket, often above equivalent SDE-3 backend roles.

Build and operate the internal developer platform — the CI/CD pipelines, Kubernetes clusters, service mesh, secrets management, observability stack, and IaC modules — that every other engineer in the company ships on. Platform engineers turn raw cloud (AWS/GCP/Azure) into a paved road: a developer pushes code, the platform takes it from commit to canary to production with logs, metrics, and rollback baked in. In India, the role is concentrated at product unicorns (Razorpay, Zerodha, CRED, PhonePe, Swiggy), GCCs of global firms (Microsoft, Atlassian, Stripe, Walmart Global Tech), and SaaS companies scaling past 200 engineers — typically the point at which a dedicated platform team starts paying for itself in shipping velocity.

Solutions Architects are the customer-facing technical role that bridges what a product can do and what a customer actually needs. They design end-to-end deployments, integrations, and migrations on behalf of the customer's engineering team — sizing infrastructure, mapping data flows, picking the right product modules, drafting reference architectures, and partnering with sales and customer-success to win and expand accounts. The role is genuinely hybrid: it requires deep technical depth (cloud, networking, security, distributed systems) and high verbal craft (workshops, executive presentations, written design docs that survive procurement and security review). In India through 2026, Solutions Architect is one of the highest-paid customer-facing technical roles, concentrated at the GCCs of cloud vendors (AWS India, Microsoft Azure India, Google Cloud India, Oracle, IBM), enterprise SaaS companies (Salesforce India, ServiceNow, Snowflake, Databricks, MongoDB, Confluent), B2B Indian product companies (Freshworks, Postman, Atlan, Hasura, Chargebee), and the systems-integrator giants (TCS, Infosys, Wipro, Accenture) where the role sits closer to delivery. Top-tier Solutions Architects in India routinely cross ₹1Cr total comp by L6+ and the role is a common path into VP-Engineering and Field-CTO seats.

Prompt Engineers design, evaluate, and ship LLM-powered features — system prompts, RAG flows, agent orchestration, structured-output schemas, and the eval harnesses that prove a prompt is actually better. The role sits between product, applied ML, and software engineering: you write prompts the way other engineers write code, run cost-quality-latency trade-off experiments, instrument grader pipelines, and own the part of the product that the LLM actually 'speaks.' In India through 2026, the role is one of the fastest-growing AI hires — concentrated at AI-native startups (Sarvam AI, Krutrim, Ola Krutrim, Atlan, Yellow.ai), product SaaS shops with a serious AI feature surface (Freshworks, Postman, Chargebee, Whatfix, Zoho ZIA), fintechs (Razorpay, Cred, Paytm), and the GCCs of Microsoft, Google, Adobe, and Salesforce. The salary band is unusually wide because the title is new and JDs vary from 'wrote one ChatGPT integration' to 'owns the eval harness for a frontier model.' Sarvam AI made several public crore-level offers to senior prompt and LLM engineers in 2025.

Business Process Analysts (BPAs) redesign how organizations work — they map current-state processes in BPMN or swimlane notation, identify waste using Lean (7 mudas: defects, overproduction, waiting, non-utilized talent, transportation, inventory, motion, extra-processing), run root-cause analysis via DMAIC, 5-Why, and fishbone diagrams, and deliver measurable cycle-time and cost reductions. In India, the role is concentrated at Big-4 process-excellence practices (KPMG, EY, Deloitte, PwC), BPO/GCC process owners at Genpact, EXL Service, WNS Global, Capgemini BPO, and in-house Lean/Six Sigma teams at HUL, ITC, RIL, TCS, and Mahindra. Entry needs Six Sigma Yellow/Green Belt or Lean Practitioner certification; mid-level roles require Green Belt with 2-3 documented Kaizen savings projects; senior roles demand Black Belt with P&L-attributed process savings of ₹2-10 Cr. Distinct from a Business Analyst (requirements-gathering for IT projects) and from a Management Consultant (strategy): the BPA's deliverables are process maps, control charts, FMEA registers, Kaizen event reports, and quantified cost-reduction cases.

Senior: ₹50.0L

Power BI Developers design, build, and maintain the BI layer that turns raw enterprise data into decision-grade dashboards for finance, operations, sales, and supply-chain teams. The core loop is: connecting heterogeneous sources via Power Query (M language), modelling star schemas with fact and dimension tables, writing DAX measures and calculated columns for time-intelligence and KPI logic, publishing to Power BI Service workspaces, enforcing row-level security policies, and tuning slow reports by reducing visual-query counts and optimising DirectQuery folding. In India, this role is the Microsoft-stack alternative to Tableau development — deeply embedded in the M365-heavy enterprises: TCS, Infosys Nia practice, Wipro's Microsoft Business Applications unit, Mahindra Group, Tata Group digital, L&T Infotech (LTIMindtree), HCL, and every banking captive running Azure Synapse or Fabric. Demand spiked in 2024-2026 as Microsoft Fabric (Lakehouse, Semantic Model, Dataflows Gen2) expanded the Power BI surface area and pushed experienced developers into the ₹18-40L band.

Senior: ₹45.0L

Supply Chain Analysts run the data and decision layer behind how products move from suppliers to shelves to customers. They build demand forecasts, optimise inventory levels, design replenishment policies, negotiate supplier terms, run network and route analyses, and tell the business when to buy, how much to buy, and where to hold it. In India, this role is exploding inside Flipkart, Amazon India, Reliance Retail, Tata CLiQ, Myntra, Nykaa and the D2C wave (Mamaearth, boAt, Sugar Cosmetics, Wakefit, Lenskart) — anywhere SKUs, hubs and order volumes have grown faster than the organisation's ability to plan them by hand. Distinct from a Procurement Manager (who owns supplier relationships), a Logistics Manager (who owns physical movement) and an Operations Analyst (who owns process metrics) — a Supply Chain Analyst owns the math: forecast accuracy, inventory turns, fill rate, working-capital tied up in stock, and total landed cost per SKU.

Senior: ₹45.0L

FP&A Analysts are the financial brain of an operating company — they own the budget, the rolling forecast, the variance commentary that lands on the CFO's desk, the management reporting pack that goes to the Board, and the business cases that decide where the next ₹100 Cr of investment goes. Unlike Investment Banking or Equity Research analysts who serve external clients, FP&A sits inside the company — finance business-partnering with Sales, Marketing, Product, Operations, and the regional GM teams to translate strategy into numbers and numbers back into operating decisions. In India, FP&A is the dominant corporate-finance role at MNCs (Microsoft India, Google India, Amazon India, Cisco, SAP, Walmart Global Tech, Mastercard, Visa), homegrown unicorns (Flipkart, Zomato, Swiggy, Ola, PhonePe, Razorpay), and Indian conglomerates (Reliance, Tata Group, Aditya Birla, Adani, Mahindra). The career ladder runs Analyst → Senior Analyst → Manager → Senior Manager / Director → VP Finance / Head of FP&A → CFO, with most CFOs at large Indian companies having spent at least 5-7 years inside FP&A.

Senior: ₹55.0L

Tableau Developers design, build, and maintain interactive dashboards and data visualizations that translate raw warehouse data into decisions for finance, operations, sales, and product teams. The core technical work involves connecting Tableau Desktop to sources like Snowflake, Redshift, and Postgres, building Hyper extract schedules, authoring LOD expressions (FIXED, INCLUDE, EXCLUDE), and engineering parameter actions and set actions that make dashboards genuinely interactive rather than static reports. In India the role is well-established at TCS BI practices, Infosys Insights, Wipro analytics, and Capgemini — and equally strong at product companies where Flipkart, Walmart Labs India, Razorpay, Cred, and PhonePe maintain dedicated Tableau Server and Tableau Cloud estates used by hundreds of internal stakeholders. Entry paths are open to B.Tech, B.Sc Statistics, and BBA Analytics graduates; the credential that opens doors fastest is Tableau Desktop Specialist followed by Tableau Certified Data Analyst.

Senior: ₹50.0L