Forward Deployed Lead - India
At a glance
Senior Solutions & Sales Engineering role at Fa Ertb Saasfaprod1. France · no salary stated · we estimate €125,000–€144,000 across France.
Fa Ertb Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
growthroles summary, based on the employer's posting.
What you'll do
- Turn business goals into technical plans, then lead delivery with business and technology stakeholders
- Shape AI and data applications, overseeing their design, build, rollout and support after launch
- Guide proofs of concept, pilots and production implementations, working across data, platform and DevOps teams
- Connect enterprise applications, APIs, data platforms and external services while setting engineering and security practices
- Advise clients through delivery, ensure banking and responsible AI requirements are met, and mentor engineers
What you bring
- At least eight years in software engineering, solution delivery or AI application development, including leadership work
- Strong programming skills in Python, Java, Scala or a comparable enterprise language
- Practical work with generative AI, large language models, retrieval-augmented generation, prompt design and AI/ML solutions
- Experience deploying cloud solutions on Azure, AWS or GCP, plus strong systems integration and solution architecture skills
- A track record leading technical teams and delivering solutions end to end
Who this fits
This senior role suits an engineering leader who combines software and architecture depth with client-facing delivery and stakeholder guidance. You’ll work on AI solutions in a banking environment and mentor engineering teams.
From the employer
We are seeking an experienced Forward Deployed Engineering Lead to drive the design, development, and deployment of AI-driven and data-centric solutions while partnering closely with business and technology stakeholders. The ideal candidate will combine deep software engineering expertise, strong solution architecture capabilities, and customer-facing leadership skills to deliver scalable, secure, and innovative solutions aligned with strategic business objectives in a banking environment.
Key Responsibilities- Lead engagements with business stakeholders to understand strategic objectives and translate them into scalable technical solutions.
- Architect, design, and oversee the development of applications leveraging AI/ML, Generative AI, LLMs, and cloud-native technologies.
- Provide technical leadership for solution design, implementation, deployment, and post-production support.
- Drive the development of Proof of Concepts (PoCs), pilot programs, and enterprise-grade production solutions.
- Lead cross-functional collaboration with Data Science, Data Engineering, Platform Engineering, and DevOps teams to operationalize AI solutions.
- Build and govern integrations with enterprise applications, APIs, data platforms, and third-party services.
- Establish best practices for software engineering, solution architecture, security, performance, scalability, and operational excellence.
- Ensure compliance with banking regulations, security standards, and Responsible AI governance requirements.
- Mentor and guide engineering teams while driving technical excellence and innovation.
- Manage stakeholder relationships, provide implementation guidance, and act as the primary technical advisor throughout project delivery.
- 8+ years of experience in software engineering, solution delivery, or AI-focused application development, including leadership responsibilities.
- Strong programming expertise in Python, Java, Scala, or similar enterprise development technologies.
- Hands-on experience with Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and AI/ML solution development.
- Experience designing and deploying solutions on Azure, AWS, or GCP cloud platforms.
- Strong understanding of REST APIs, Microservices, SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines.
- Experience with Databricks, Apache Spark, Data Engineering frameworks, and modern data platforms.
- Strong solution architecture, systems integration, and enterprise application design capabilities.
- Excellent stakeholder management, consulting, and client-facing communication skills.
- Proven experience leading technical teams and driving end-to-end solution delivery.
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