We are looking for a Senior Solution Architect with strong presales experience to design innovative technical solutions, support the sales process, and lead a team of technical professionals. This role acts as a bridge between engineering, sales, and delivery teams. You will work closely with clients to understand their business needs, develop customized solutions, and present these effectively to both technical and executive audiences. Additionally, you will strengthen your team’s skills through hands-on leadership, coaching, and structured training programs.

Key Responsibilities

- Engage with clients and prospects to gather insights on their business challenges, technical environments, and requirements.
- Design secure, scalable, and comprehensive solution architectures that align with client goals.
- Identify opportunities to leverage AI and automation, advising on practical and realistic use cases.
- Lead technical presales activities such as discovery sessions, demos, proof-of-concepts, workshops, and presentations.
- Prepare and review proposals, RFP/RFI responses, solution documents, effort estimates, and pricing inputs.
- Collaborate with sales and business development teams to qualify opportunities, shape pitches, and support deal closures.
- Present solutions and technical concepts clearly to executives, decision-makers, and technical stakeholders, explaining AI capabilities, limitations, and risks in accessible terms.
- Lead, mentor, and manage a team of solution engineers, presales consultants, or technical specialists.
- Design and deliver training programs, onboarding sessions, knowledge-sharing initiatives, and technical upskilling for team members.
- Establish standards, templates, and reusable assets for solution design, demos, and proposals.
- Coordinate with delivery and engineering teams to ensure smooth transition from presales to implementation.
- Stay current on emerging technologies, particularly AI, and recommend adoption strategies for the organization.
- Provide technical input to service offerings, go-to-market plans, and client strategies.

Required Qualifications

- Over 10 years of experience in solution architecture, technical consulting, presales, or related fields.
- Proven leadership experience managing and mentoring technical or presales teams.
- Demonstrated ability to design and deliver training, coaching, or capability-building programs for technical staff.
- Strong working knowledge of AI and generative AI technologies, including large language models (LLMs), AI agents, and automation tools, with an understanding of their enterprise applications.
- Awareness of AI-related risks such as data privacy, hallucination, and governance, with strategies to mitigate these in solution design.
- Solid track record supporting the sales cycle through RFP/RFI responses, demos, proofs-of-concept, and client workshops.
- Deep understanding of enterprise architecture, cloud platforms (AWS, Azure, GCP), integrations, and security fundamentals.
- Ability to translate complex business requirements into clear, actionable technical solutions that deliver measurable value.
- Experience in effort estimation, project scoping, and preparing technical proposals.
- Excellent verbal and written communication skills, with confidence engaging both C-level executives and technical audiences.
- Strong analytical and problem-solving abilities, exercising sound judgment on trade-offs.
- Effective stakeholder management and collaboration skills across sales, engineering, and delivery teams.

Preferred Qualifications and Benefits

- Hands-on technical experience is preferred.
- Relevant certifications such as cloud architecture, security, or TOGAF are advantageous.
- Competitive compensation starting from Rs 300,000 per month.
- This is an in-person role.

This position offers the chance to lead technical innovation and presales excellence within a dynamic environment, driving impactful solutions that leverage cutting-edge AI technologies.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Career Level:
Manager
Experience:
6 Years - 10 Years
Apply Before:
Oct 24, 2026
Posting Date:
Oct 18, 2026

NKU Technologies Pvt.Ltd.

· 11-50 employees - Lahore

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