Custom Software Engineer at Accenture

Gurugram, Haryana, India

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, IT ServicesIndustries

Requirements

Minimum 7.5 years of experience (seasoned with 10+ years in development and application architecture preferred)
Must have skills: Machine Learning
Educational Qualification: 15 years full time education
Leadership & Collaboration skills: Strategic technical leadership and vision, sets technical direction for multiple teams or platform, defines architecture and quality standards
Expert in the complete TDLC (Technical Development Life Cycle), continuously improving methodologies and tooling
Guides adoption of new technologies (e.g., cloud services, automation frameworks)
AI Governance Program expertise: define policy controls, risk tiers, approval workflows, model & prompt change advisory board, vendor due diligence; own DPAs & retention standards
Cost & Risk Guardrails: multi-provider routing policies (cost/latency/safety); monthly unit-economics reviews (cost-per-resolution, ROI)
Enterprise Protocols: champion MCPs & standard AI comms protocols for tool/knowledge connectors; mandate schema contracts & audits
Resilience & Portability: disaster-recovery for embeddings & indexes; cross-cloud portability for LLM endpoints; fallbacks & degrade-gracefully patterns
Outcome-first Roadmapping: set value hypotheses and measurement plans per use case (deflection, CSAT, time-to-market)
Broad and authoritative domain mastery across distribution channels (e.g., mutual fund distribution, brokerage, retirement products)
Strategy with business leaders using deep knowledge of financial domain trends and regulatory changes
High AI fluency: drives AI-enabled engineering at scale, leverages AI throughout development lifecycle (customizing models/scripts for coding, reviews, analysis), coaches on prompt engineering, evaluates/introduces AI tools (e.g., AI-based testing, DevOps assistants), integrates AI-driven components, defines team strategy for AI agents

Responsibilities

Develop custom software solutions to design, code, and enhance components across systems or applications using modern frameworks and agile practices
Deliver scalable, high-performing solutions tailored to specific business needs
Analyze, design, code, and test various components of application code across multiple clients
Collaborate with team members to ensure successful implementation of software solutions
Perform maintenance and enhancements on applications
Contribute to the overall development process
Deliver high-quality code adhering to best practices and project timelines
Ensure applications meet client needs effectively
Provide strategic technical leadership and vision for multiple teams or platform
Define architecture and quality standards
Drive domain-oriented innovation (e.g., platform capabilities for new investment offerings or compliance)
Shape technical solutions to align with financial domain trends and regulatory changes
Ensure engineering teams focus on domain needs for regulated objectives and customer value

Skills

Machine Learning

Software Development

Application Architecture

Agile Practices

Cloud Services

Automation Frameworks

TDLC

AI Governance

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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