Custom Software Engineer at Accenture

Hyderabad, Telangana, India

Accenture Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, ConsultingIndustries

Requirements

  • Minimum 5 years of experience (additional note: minimum 7.5 years in Python)
  • Proficiency in Python (Programming Language) - Must have skill
  • 15 years full-time education
  • Strong grasp of Generative and Agentic AI, prompt engineering, and AI evaluation frameworks
  • Ability to align AI capabilities with business objectives, ensuring scalability, responsible use, and value realization
  • Strong understanding of software development methodologies and best practices
  • Experience with version control systems such as Git
  • Familiarity with web frameworks like Django or Flask
  • Ability to write clean, maintainable, and efficient code
  • Based at Hyderabad office

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 project execution and address development challenges
  • Perform maintenance and enhancements to existing applications to meet evolving user and stakeholder needs
  • Lead AI-driven solution design and delivery using GenAI and Agentic AI to address business challenges, automate processes, and integrate insights into workflows
  • Act as Subject Matter Expert (SME) in AI solutions
  • Collaborate and manage the team
  • Make team decisions and contribute to key decisions across multiple teams
  • Provide solutions to problems for immediate team and across multiple teams
  • Mentor junior team members to enhance their skills and knowledge
  • Continuously evaluate and improve development processes for efficiency

Skills

Python
Generative AI
Agentic AI
Software Development
Agile
AI Frameworks

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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